{"id":61879,"url":"https://github.com/labex-labs/ml-free-tutorials","name":"ml-free-tutorials","description":"Free Machine Learning tutorials for beginners with 1001 interactive lessons. Easy-to-follow programming guides with hands-on practice exercises.","projects_count":1004,"last_synced_at":"2026-06-13T14:00:37.472Z","repository":{"id":241207924,"uuid":"804641789","full_name":"labex-labs/ml-free-tutorials","owner":"labex-labs","description":"Free Machine Learning tutorials for beginners with 1001 interactive lessons. 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This Skill Tree offers a systematic way to learn ML concepts and techniques. Tailored for beginners, it provides a clear roadmap to grasp algorithms, model training, and data analysis. Hands - on, non - video courses and practical exercises in an interactive ML playground help you develop real - world skills in building and deploying machine learning models.\n\n| Index | Name | Difficulty | Tutorial Link |\n|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| 0001 | [๐Ÿ“– Working with Nullable Integers](https://labex.io/tutorials/python-working-with-nullable-integers-65448) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-working-with-nullable-integers-65448) |\n| 0002 | [๐Ÿ“– Scikit-Learn Ridge Regression Example](https://labex.io/tutorials/ml-scikit-learn-ridge-regression-example-49270) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-ridge-regression-example-49270) |\n| 0003 | [๐Ÿ“– Robust Linear Estimator Fitting](https://labex.io/tutorials/ml-robust-linear-estimator-fitting-49271) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-robust-linear-estimator-fitting-49271) |\n| 0004 | [๐Ÿ“– Robust Covariance Estimation in Python](https://labex.io/tutorials/ml-robust-covariance-estimation-in-python-49272) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-robust-covariance-estimation-in-python-49272) |\n| 0005 | [๐Ÿ“– ROC with Cross Validation](https://labex.io/tutorials/ml-roc-with-cross-validation-49273) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-roc-with-cross-validation-49273) |\n| 0006 | [๐Ÿ“– Scikit-Learn Visualization API](https://labex.io/tutorials/ml-scikit-learn-visualization-api-49274) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-visualization-api-49274) |\n| 0007 | [๐Ÿ“– Multiclass ROC Evaluation with Scikit-Learn](https://labex.io/tutorials/ml-multiclass-roc-evaluation-with-scikit-learn-49275) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-multiclass-roc-evaluation-with-scikit-learn-49275) |\n| 0008 | [๐Ÿ“– Polynomial Kernel Approximation with Scikit-Learn](https://labex.io/tutorials/ml-polynomial-kernel-approximation-with-scikit-learn-49276) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-polynomial-kernel-approximation-with-scikit-learn-49276) |\n| 0009 | [๐Ÿ“– Feature Scaling in Machine Learning](https://labex.io/tutorials/ml-feature-scaling-in-machine-learning-49277) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-feature-scaling-in-machine-learning-49277) |\n| 0010 | [๐Ÿ“– Spectral Clustering for Image Segmentation](https://labex.io/tutorials/ml-spectral-clustering-for-image-segmentation-49278) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-spectral-clustering-for-image-segmentation-49278) |\n| 0011 | [๐Ÿ“– Model-Based and Sequential Feature Selection](https://labex.io/tutorials/ml-model-based-and-sequential-feature-selection-49279) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-model-based-and-sequential-feature-selection-49279) |\n| 0012 | [๐Ÿ“– Effect of Varying Threshold for Self-Training](https://labex.io/tutorials/ml-effect-of-varying-threshold-for-self-training-49280) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-effect-of-varying-threshold-for-self-training-49280) |\n| 0013 | [๐Ÿ“– Semi-Supervised Text Classification](https://labex.io/tutorials/ml-semi-supervised-text-classification-49281) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-semi-supervised-text-classification-49281) |\n| 0014 | [๐Ÿ“– Semi-Supervised Classifiers on the Iris Dataset](https://labex.io/tutorials/ml-semi-supervised-classifiers-on-the-iris-dataset-49282) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-semi-supervised-classifiers-on-the-iris-dataset-49282) |\n| 0015 | [๐Ÿ“– SVM for Unbalanced Classes](https://labex.io/tutorials/ml-svm-for-unbalanced-classes-49283) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-for-unbalanced-classes-49283) |\n| 0016 | [๐Ÿ“– SVM: Maximum Margin Separating Hyperplane](https://labex.io/tutorials/ml-svm-maximum-margin-separating-hyperplane-49284) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-maximum-margin-separating-hyperplane-49284) |\n| 0017 | [๐Ÿ“– Using Set_output API](https://labex.io/tutorials/ml-using-set-output-api-49285) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-using-set-output-api-49285) |\n| 0018 | [๐Ÿ“– Comparing Online Solvers for Handwritten Digit Classification](https://labex.io/tutorials/ml-comparing-online-solvers-for-handwritten-digit-classification-49286) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-comparing-online-solvers-for-handwritten-digit-classification-49286) |\n| 0019 | [๐Ÿ“– Early Stopping of Stochastic Gradient Descent](https://labex.io/tutorials/ml-early-stopping-of-stochastic-gradient-descent-49287) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-early-stopping-of-stochastic-gradient-descent-49287) |\n| 0020 | [๐Ÿ“– Scikit-Learn Multi-Class SGD Classifier](https://labex.io/tutorials/ml-scikit-learn-multi-class-sgd-classifier-49288) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-multi-class-sgd-classifier-49288) |\n| 0021 | [๐Ÿ“– Convex Loss Functions Comparison](https://labex.io/tutorials/ml-convex-loss-functions-comparison-49289) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-convex-loss-functions-comparison-49289) |\n| 0022 | [๐Ÿ“– Applying Regularization Techniques with SGD](https://labex.io/tutorials/ml-applying-regularization-techniques-with-sgd-49290) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-applying-regularization-techniques-with-sgd-49290) |\n| 0023 | [๐Ÿ“– Plot SGD Separating Hyperplane](https://labex.io/tutorials/ml-plot-sgd-separating-hyperplane-49291) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-sgd-separating-hyperplane-49291) |\n| 0024 | [๐Ÿ“– Weighted Dataset Decision Function Plotting](https://labex.io/tutorials/ml-weighted-dataset-decision-function-plotting-49292) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-weighted-dataset-decision-function-plotting-49292) |\n| 0025 | [๐Ÿ“– Plot Sgdocsvm vs Ocsvm](https://labex.io/tutorials/ml-plot-sgdocsvm-vs-ocsvm-49293) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-sgdocsvm-vs-ocsvm-49293) |\n| 0026 | [๐Ÿ“– Sparse Coding with Precomputed Dictionary](https://labex.io/tutorials/ml-sparse-coding-with-precomputed-dictionary-49294) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-sparse-coding-with-precomputed-dictionary-49294) |\n| 0027 | [๐Ÿ“– Sparse Inverse Covariance Estimation](https://labex.io/tutorials/ml-sparse-inverse-covariance-estimation-49295) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-sparse-inverse-covariance-estimation-49295) |\n| 0028 | [๐Ÿ“– Multiclass Sparse Logistic Regression](https://labex.io/tutorials/ml-multiclass-sparse-logistic-regression-49296) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-multiclass-sparse-logistic-regression-49296) |\n| 0029 | [๐Ÿ“– MNIST Multinomial Logistic Regression](https://labex.io/tutorials/ml-mnist-multinomial-logistic-regression-49297) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-mnist-multinomial-logistic-regression-49297) |\n| 0030 | [๐Ÿ“– Species Distribution Modeling](https://labex.io/tutorials/ml-species-distribution-modeling-49298) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-species-distribution-modeling-49298) |\n| 0031 | [๐Ÿ“– Kernel Density Estimate of Species Distributions](https://labex.io/tutorials/ml-kernel-density-estimate-of-species-distributions-49299) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-kernel-density-estimate-of-species-distributions-49299) |\n| 0032 | [๐Ÿ“– Spectral Biclustering Algorithm](https://labex.io/tutorials/ml-spectral-biclustering-algorithm-49300) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-spectral-biclustering-algorithm-49300) |\n| 0033 | [๐Ÿ“– Spectral Co-Clustering Algorithm](https://labex.io/tutorials/ml-spectral-co-clustering-algorithm-49301) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-spectral-co-clustering-algorithm-49301) |\n| 0034 | [๐Ÿ“– Combine Predictors Using Stacking](https://labex.io/tutorials/ml-combine-predictors-using-stacking-49302) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-combine-predictors-using-stacking-49302) |\n| 0035 | [๐Ÿ“– Visualizing Stock Market Structure](https://labex.io/tutorials/ml-visualizing-stock-market-structure-49303) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-visualizing-stock-market-structure-49303) |\n| 0036 | [๐Ÿ“– Comparison Between Grid Search and Successive Halving](https://labex.io/tutorials/ml-comparison-between-grid-search-and-successive-halving-49304) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-comparison-between-grid-search-and-successive-halving-49304) |\n| 0037 | [๐Ÿ“– Successive Halving Iterations](https://labex.io/tutorials/ml-successive-halving-iterations-49305) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-successive-halving-iterations-49305) |\n| 0038 | [๐Ÿ“– Feature Selection for SVC on Iris Dataset](https://labex.io/tutorials/ml-feature-selection-for-svc-on-iris-dataset-49306) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-feature-selection-for-svc-on-iris-dataset-49306) |\n| 0039 | [๐Ÿ“– SVM Kernel Data Classification](https://labex.io/tutorials/ml-svm-kernel-data-classification-49307) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-kernel-data-classification-49307) |\n| 0040 | [๐Ÿ“– Exploring Linear SVM Parameters](https://labex.io/tutorials/ml-exploring-linear-svm-parameters-49308) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-exploring-linear-svm-parameters-49308) |\n| 0041 | [๐Ÿ“– Non-Linear SVM Classification](https://labex.io/tutorials/ml-non-linear-svm-classification-49309) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-non-linear-svm-classification-49309) |\n| 0042 | [๐Ÿ“– Support Vector Regression](https://labex.io/tutorials/ml-support-vector-regression-49310) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-support-vector-regression-49310) |\n| 0043 | [๐Ÿ“– Scaling Regularization Parameter for SVMs](https://labex.io/tutorials/ml-scaling-regularization-parameter-for-svms-49311) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scaling-regularization-parameter-for-svms-49311) |\n| 0044 | [๐Ÿ“– SVM Tie Breaking](https://labex.io/tutorials/ml-svm-tie-breaking-49312) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-tie-breaking-49312) |\n| 0045 | [๐Ÿ“– Swiss Roll and Swiss-Hole Reduction](https://labex.io/tutorials/ml-swiss-roll-and-swiss-hole-reduction-49313) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-swiss-roll-and-swiss-hole-reduction-49313) |\n| 0046 | [๐Ÿ“– Visualize High-Dimensional Data with t-SNE](https://labex.io/tutorials/ml-visualize-high-dimensional-data-with-t-sne-49314) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-visualize-high-dimensional-data-with-t-sne-49314) |\n| 0047 | [๐Ÿ“– Categorical Data Transformation using TargetEncoder](https://labex.io/tutorials/ml-categorical-data-transformation-using-targetencoder-49315) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-categorical-data-transformation-using-targetencoder-49315) |\n| 0048 | [๐Ÿ“– Comparing Different Categorical Encoders](https://labex.io/tutorials/ml-comparing-different-categorical-encoders-49316) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-comparing-different-categorical-encoders-49316) |\n| 0049 | [๐Ÿ“– Theil-Sen Regression with Python Scikit-Learn](https://labex.io/tutorials/ml-theil-sen-regression-with-python-scikit-learn-49317) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-theil-sen-regression-with-python-scikit-learn-49317) |\n| 0050 | [๐Ÿ“– Compressive Sensing Image Reconstruction](https://labex.io/tutorials/ml-compressive-sensing-image-reconstruction-49318) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-compressive-sensing-image-reconstruction-49318) |\n| 0051 | [๐Ÿ“– Plot Topics Extraction with NMF Lda](https://labex.io/tutorials/ml-plot-topics-extraction-with-nmf-lda-49319) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-topics-extraction-with-nmf-lda-49319) |\n| 0052 | [๐Ÿ“– Scikit-Learn Elastic-Net Regression Model](https://labex.io/tutorials/ml-scikit-learn-elastic-net-regression-model-49320) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-elastic-net-regression-model-49320) |\n| 0053 | [๐Ÿ“– Transforming Target for Linear Regression](https://labex.io/tutorials/ml-transforming-target-for-linear-regression-49321) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-transforming-target-for-linear-regression-49321) |\n| 0054 | [๐Ÿ“– Multi-Output Decision Tree Regression](https://labex.io/tutorials/ml-multi-output-decision-tree-regression-49322) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-multi-output-decision-tree-regression-49322) |\n| 0055 | [๐Ÿ“– Decision Tree Regression](https://labex.io/tutorials/ml-decision-tree-regression-49323) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-decision-tree-regression-49323) |\n| 0056 | [๐Ÿ“– Underfitting and Overfitting](https://labex.io/tutorials/ml-underfitting-and-overfitting-49324) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-underfitting-and-overfitting-49324) |\n| 0057 | [๐Ÿ“– Decision Tree Analysis](https://labex.io/tutorials/ml-decision-tree-analysis-49325) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-decision-tree-analysis-49325) |\n| 0058 | [๐Ÿ“– Plotting Validation Curves](https://labex.io/tutorials/ml-plotting-validation-curves-49326) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plotting-validation-curves-49326) |\n| 0059 | [๐Ÿ“– Revealing Iris Dataset Structure via Factor Analysis](https://labex.io/tutorials/ml-revealing-iris-dataset-structure-via-factor-analysis-49327) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-revealing-iris-dataset-structure-via-factor-analysis-49327) |\n| 0060 | [๐Ÿ“– Iris Flower Classification using Voting Classifier](https://labex.io/tutorials/ml-iris-flower-classification-using-voting-classifier-49328) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-iris-flower-classification-using-voting-classifier-49328) |\n| 0061 | [๐Ÿ“– Class Probabilities with VotingClassifier](https://labex.io/tutorials/ml-class-probabilities-with-votingclassifier-49329) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-class-probabilities-with-votingclassifier-49329) |\n| 0062 | [๐Ÿ“– Diabetes Prediction Using Voting Regressor](https://labex.io/tutorials/ml-diabetes-prediction-using-voting-regressor-49330) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-diabetes-prediction-using-voting-regressor-49330) |\n| 0063 | [๐Ÿ“– Hierarchical Clustering with Connectivity Constraints](https://labex.io/tutorials/ml-hierarchical-clustering-with-connectivity-constraints-49331) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-hierarchical-clustering-with-connectivity-constraints-49331) |\n| 0064 | [๐Ÿ“– Support Vector Machine Weighted Samples](https://labex.io/tutorials/ml-support-vector-machine-weighted-samples-49332) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-support-vector-machine-weighted-samples-49332) |\n| 0065 | [๐Ÿ“– Scikit-Learn Libsvm GUI](https://labex.io/tutorials/ml-scikit-learn-libsvm-gui-49333) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-libsvm-gui-49333) |\n| 0066 | [๐Ÿ“– Wikipedia PageRank with Randomized SVD](https://labex.io/tutorials/ml-wikipedia-pagerank-with-randomized-svd-49334) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-wikipedia-pagerank-with-randomized-svd-49334) |\n| 0067 | [๐Ÿ“– Working with Pandas](https://labex.io/tutorials/python-working-with-pandas-65430) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-working-with-pandas-65430) |\n| 0068 | [๐Ÿ“– Pandas Data Manipulation](https://labex.io/tutorials/python-pandas-data-manipulation-65431) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-pandas-data-manipulation-65431) |\n| 0069 | [๐Ÿ“– Data Selection in Pandas](https://labex.io/tutorials/python-data-selection-in-pandas-65432) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-data-selection-in-pandas-65432) |\n| 0070 | [๐Ÿ“– Pandas Plotting for Air Quality Analysis](https://labex.io/tutorials/python-pandas-plotting-for-air-quality-analysis-65433) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-pandas-plotting-for-air-quality-analysis-65433) |\n| 0071 | [๐Ÿ“– Working with Columns in Pandas](https://labex.io/tutorials/python-working-with-columns-in-pandas-65434) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-working-with-columns-in-pandas-65434) |\n| 0072 | [๐Ÿ“– Titanic Passenger Data Analysis with Pandas](https://labex.io/tutorials/python-titanic-passenger-data-analysis-with-pandas-65435) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-titanic-passenger-data-analysis-with-pandas-65435) |\n| 0073 | [๐Ÿ“– Reshaping Data with Pandas](https://labex.io/tutorials/python-reshaping-data-with-pandas-65436) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-reshaping-data-with-pandas-65436) |\n| 0074 | [๐Ÿ“– Combining Data Tables in Pandas](https://labex.io/tutorials/python-combining-data-tables-in-pandas-65437) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-combining-data-tables-in-pandas-65437) |\n| 0075 | [๐Ÿ“– Validation Curves: Plotting Scores to Evaluate Models](https://labex.io/tutorials/ml-validation-curves-plotting-scores-to-evaluate-models-71125) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-validation-curves-plotting-scores-to-evaluate-models-71125) |\n| 0076 | [๐Ÿ“– Density Estimation Using Kernel Density](https://labex.io/tutorials/ml-density-estimation-using-kernel-density-71121) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-density-estimation-using-kernel-density-71121) |\n| 0077 | [๐Ÿ“– Machine Learning Cross-Validation with Python](https://labex.io/tutorials/ml-machine-learning-cross-validation-with-python-71122) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-machine-learning-cross-validation-with-python-71122) |\n| 0078 | [๐Ÿ“– Tuning Hyperparameters of an Estimator](https://labex.io/tutorials/ml-tuning-hyperparameters-of-an-estimator-71123) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-tuning-hyperparameters-of-an-estimator-71123) |\n| 0079 | [๐Ÿ“– Evaluating Machine Learning Model Quality](https://labex.io/tutorials/ml-evaluating-machine-learning-model-quality-71124) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-evaluating-machine-learning-model-quality-71124) |\n| 0080 | [๐Ÿ“– Permutation Feature Importance](https://labex.io/tutorials/ml-permutation-feature-importance-71127) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-permutation-feature-importance-71127) |\n| 0081 | [๐Ÿ“– Feature Extraction with Scikit-Learn](https://labex.io/tutorials/ml-feature-extraction-with-scikit-learn-71129) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-feature-extraction-with-scikit-learn-71129) |\n| 0082 | [๐Ÿ“– Pandas Data Manipulation](https://labex.io/tutorials/python-pandas-data-manipulation-65431) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-pandas-data-manipulation-65431) |\n| 0083 | [๐Ÿ“– Working with Pandas](https://labex.io/tutorials/python-working-with-pandas-65430) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/python-working-with-pandas-65430) |\n| 0084 | [๐Ÿ“– Wikipedia PageRank with Randomized SVD](https://labex.io/tutorials/ml-wikipedia-pagerank-with-randomized-svd-49334) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-wikipedia-pagerank-with-randomized-svd-49334) |\n| 0085 | [๐Ÿ“– Scikit-Learn Libsvm GUI](https://labex.io/tutorials/ml-scikit-learn-libsvm-gui-49333) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-libsvm-gui-49333) |\n| 0086 | [๐Ÿ“– Support Vector Machine Weighted Samples](https://labex.io/tutorials/ml-support-vector-machine-weighted-samples-49332) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-support-vector-machine-weighted-samples-49332) |\n| 0087 | [๐Ÿ“– Hierarchical Clustering with Connectivity Constraints](https://labex.io/tutorials/ml-hierarchical-clustering-with-connectivity-constraints-49331) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-hierarchical-clustering-with-connectivity-constraints-49331) |\n| 0088 | [๐Ÿ“– Diabetes Prediction Using Voting Regressor](https://labex.io/tutorials/ml-diabetes-prediction-using-voting-regressor-49330) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-diabetes-prediction-using-voting-regressor-49330) |\n| 0089 | [๐Ÿ“– Class Probabilities with VotingClassifier](https://labex.io/tutorials/ml-class-probabilities-with-votingclassifier-49329) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-class-probabilities-with-votingclassifier-49329) |\n| 0090 | [๐Ÿ“– Iris Flower Classification using Voting Classifier](https://labex.io/tutorials/ml-iris-flower-classification-using-voting-classifier-49328) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-iris-flower-classification-using-voting-classifier-49328) |\n| 0091 | [๐Ÿ“– Revealing Iris Dataset Structure via Factor Analysis](https://labex.io/tutorials/ml-revealing-iris-dataset-structure-via-factor-analysis-49327) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-revealing-iris-dataset-structure-via-factor-analysis-49327) |\n| 0092 | [๐Ÿ“– Plotting Validation Curves](https://labex.io/tutorials/ml-plotting-validation-curves-49326) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plotting-validation-curves-49326) |\n| 0093 | [๐Ÿ“– Decision Tree Analysis](https://labex.io/tutorials/ml-decision-tree-analysis-49325) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-decision-tree-analysis-49325) |\n| 0094 | [๐Ÿ“– Underfitting and Overfitting](https://labex.io/tutorials/ml-underfitting-and-overfitting-49324) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-underfitting-and-overfitting-49324) |\n| 0095 | [๐Ÿ“– Decision Tree Regression](https://labex.io/tutorials/ml-decision-tree-regression-49323) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-decision-tree-regression-49323) |\n| 0096 | [๐Ÿ“– Multi-Output Decision Tree Regression](https://labex.io/tutorials/ml-multi-output-decision-tree-regression-49322) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-multi-output-decision-tree-regression-49322) |\n| 0097 | [๐Ÿ“– Transforming Target for Linear Regression](https://labex.io/tutorials/ml-transforming-target-for-linear-regression-49321) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-transforming-target-for-linear-regression-49321) |\n| 0098 | [๐Ÿ“– Scikit-Learn Elastic-Net Regression Model](https://labex.io/tutorials/ml-scikit-learn-elastic-net-regression-model-49320) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-elastic-net-regression-model-49320) |\n| 0099 | [๐Ÿ“– Plot Topics Extraction with NMF Lda](https://labex.io/tutorials/ml-plot-topics-extraction-with-nmf-lda-49319) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-topics-extraction-with-nmf-lda-49319) |\n| 0100 | [๐Ÿ“– Compressive Sensing Image Reconstruction](https://labex.io/tutorials/ml-compressive-sensing-image-reconstruction-49318) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-compressive-sensing-image-reconstruction-49318) |\n| 0101 | [๐Ÿ“– Theil-Sen Regression with Python Scikit-Learn](https://labex.io/tutorials/ml-theil-sen-regression-with-python-scikit-learn-49317) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-theil-sen-regression-with-python-scikit-learn-49317) |\n| 0102 | [๐Ÿ“– Comparing Different Categorical Encoders](https://labex.io/tutorials/ml-comparing-different-categorical-encoders-49316) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-comparing-different-categorical-encoders-49316) |\n| 0103 | [๐Ÿ“– Categorical Data Transformation using TargetEncoder](https://labex.io/tutorials/ml-categorical-data-transformation-using-targetencoder-49315) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-categorical-data-transformation-using-targetencoder-49315) |\n| 0104 | [๐Ÿ“– Visualize High-Dimensional Data with t-SNE](https://labex.io/tutorials/ml-visualize-high-dimensional-data-with-t-sne-49314) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-visualize-high-dimensional-data-with-t-sne-49314) |\n| 0105 | [๐Ÿ“– Swiss Roll and Swiss-Hole Reduction](https://labex.io/tutorials/ml-swiss-roll-and-swiss-hole-reduction-49313) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-swiss-roll-and-swiss-hole-reduction-49313) |\n| 0106 | [๐Ÿ“– SVM Tie Breaking](https://labex.io/tutorials/ml-svm-tie-breaking-49312) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-tie-breaking-49312) |\n| 0107 | [๐Ÿ“– Scaling Regularization Parameter for SVMs](https://labex.io/tutorials/ml-scaling-regularization-parameter-for-svms-49311) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scaling-regularization-parameter-for-svms-49311) |\n| 0108 | [๐Ÿ“– Support Vector Regression](https://labex.io/tutorials/ml-support-vector-regression-49310) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-support-vector-regression-49310) |\n| 0109 | [๐Ÿ“– Non-Linear SVM Classification](https://labex.io/tutorials/ml-non-linear-svm-classification-49309) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-non-linear-svm-classification-49309) |\n| 0110 | [๐Ÿ“– Exploring Linear SVM Parameters](https://labex.io/tutorials/ml-exploring-linear-svm-parameters-49308) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-exploring-linear-svm-parameters-49308) |\n| 0111 | [๐Ÿ“– SVM Kernel Data Classification](https://labex.io/tutorials/ml-svm-kernel-data-classification-49307) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-kernel-data-classification-49307) |\n| 0112 | [๐Ÿ“– Feature Selection for SVC on Iris Dataset](https://labex.io/tutorials/ml-feature-selection-for-svc-on-iris-dataset-49306) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-feature-selection-for-svc-on-iris-dataset-49306) |\n| 0113 | [๐Ÿ“– Successive Halving Iterations](https://labex.io/tutorials/ml-successive-halving-iterations-49305) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-successive-halving-iterations-49305) |\n| 0114 | [๐Ÿ“– Comparison Between Grid Search and Successive Halving](https://labex.io/tutorials/ml-comparison-between-grid-search-and-successive-halving-49304) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-comparison-between-grid-search-and-successive-halving-49304) |\n| 0115 | [๐Ÿ“– Visualizing Stock Market Structure](https://labex.io/tutorials/ml-visualizing-stock-market-structure-49303) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-visualizing-stock-market-structure-49303) |\n| 0116 | [๐Ÿ“– Combine Predictors Using Stacking](https://labex.io/tutorials/ml-combine-predictors-using-stacking-49302) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-combine-predictors-using-stacking-49302) |\n| 0117 | [๐Ÿ“– Spectral Co-Clustering Algorithm](https://labex.io/tutorials/ml-spectral-co-clustering-algorithm-49301) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-spectral-co-clustering-algorithm-49301) |\n| 0118 | [๐Ÿ“– Spectral Biclustering Algorithm](https://labex.io/tutorials/ml-spectral-biclustering-algorithm-49300) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-spectral-biclustering-algorithm-49300) |\n| 0119 | [๐Ÿ“– Kernel Density Estimate of Species Distributions](https://labex.io/tutorials/ml-kernel-density-estimate-of-species-distributions-49299) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-kernel-density-estimate-of-species-distributions-49299) |\n| 0120 | [๐Ÿ“– Species Distribution Modeling](https://labex.io/tutorials/ml-species-distribution-modeling-49298) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-species-distribution-modeling-49298) |\n| 0121 | [๐Ÿ“– MNIST Multinomial Logistic Regression](https://labex.io/tutorials/ml-mnist-multinomial-logistic-regression-49297) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-mnist-multinomial-logistic-regression-49297) |\n| 0122 | [๐Ÿ“– Multiclass Sparse Logistic Regression](https://labex.io/tutorials/ml-multiclass-sparse-logistic-regression-49296) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-multiclass-sparse-logistic-regression-49296) |\n| 0123 | [๐Ÿ“– Sparse Inverse Covariance Estimation](https://labex.io/tutorials/ml-sparse-inverse-covariance-estimation-49295) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-sparse-inverse-covariance-estimation-49295) |\n| 0124 | [๐Ÿ“– Sparse Coding with Precomputed Dictionary](https://labex.io/tutorials/ml-sparse-coding-with-precomputed-dictionary-49294) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-sparse-coding-with-precomputed-dictionary-49294) |\n| 0125 | [๐Ÿ“– Plot Sgdocsvm vs Ocsvm](https://labex.io/tutorials/ml-plot-sgdocsvm-vs-ocsvm-49293) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-sgdocsvm-vs-ocsvm-49293) |\n| 0126 | [๐Ÿ“– Weighted Dataset Decision Function Plotting](https://labex.io/tutorials/ml-weighted-dataset-decision-function-plotting-49292) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-weighted-dataset-decision-function-plotting-49292) |\n| 0127 | [๐Ÿ“– Plot SGD Separating Hyperplane](https://labex.io/tutorials/ml-plot-sgd-separating-hyperplane-49291) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-sgd-separating-hyperplane-49291) |\n| 0128 | [๐Ÿ“– Applying Regularization Techniques with SGD](https://labex.io/tutorials/ml-applying-regularization-techniques-with-sgd-49290) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-applying-regularization-techniques-with-sgd-49290) |\n| 0129 | [๐Ÿ“– Convex Loss Functions Comparison](https://labex.io/tutorials/ml-convex-loss-functions-comparison-49289) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-convex-loss-functions-comparison-49289) |\n| 0130 | [๐Ÿ“– Scikit-Learn Multi-Class SGD Classifier](https://labex.io/tutorials/ml-scikit-learn-multi-class-sgd-classifier-49288) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-multi-class-sgd-classifier-49288) |\n| 0131 | [๐Ÿ“– Early Stopping of Stochastic Gradient Descent](https://labex.io/tutorials/ml-early-stopping-of-stochastic-gradient-descent-49287) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-early-stopping-of-stochastic-gradient-descent-49287) |\n| 0132 | [๐Ÿ“– Comparing Online Solvers for Handwritten Digit Classification](https://labex.io/tutorials/ml-comparing-online-solvers-for-handwritten-digit-classification-49286) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-comparing-online-solvers-for-handwritten-digit-classification-49286) |\n| 0133 | [๐Ÿ“– Using Set_output API](https://labex.io/tutorials/ml-using-set-output-api-49285) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-using-set-output-api-49285) |\n| 0134 | [๐Ÿ“– SVM: Maximum Margin Separating Hyperplane](https://labex.io/tutorials/ml-svm-maximum-margin-separating-hyperplane-49284) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-maximum-margin-separating-hyperplane-49284) |\n| 0135 | [๐Ÿ“– SVM for Unbalanced Classes](https://labex.io/tutorials/ml-svm-for-unbalanced-classes-49283) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-for-unbalanced-classes-49283) |\n| 0136 | [๐Ÿ“– Semi-Supervised Classifiers on the Iris Dataset](https://labex.io/tutorials/ml-semi-supervised-classifiers-on-the-iris-dataset-49282) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-semi-supervised-classifiers-on-the-iris-dataset-49282) |\n| 0137 | [๐Ÿ“– Semi-Supervised Text Classification](https://labex.io/tutorials/ml-semi-supervised-text-classification-49281) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-semi-supervised-text-classification-49281) |\n| 0138 | [๐Ÿ“– Effect of Varying Threshold for Self-Training](https://labex.io/tutorials/ml-effect-of-varying-threshold-for-self-training-49280) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-effect-of-varying-threshold-for-self-training-49280) |\n| 0139 | [๐Ÿ“– Model-Based and Sequential Feature Selection](https://labex.io/tutorials/ml-model-based-and-sequential-feature-selection-49279) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-model-based-and-sequential-feature-selection-49279) |\n| 0140 | [๐Ÿ“– Spectral Clustering for Image Segmentation](https://labex.io/tutorials/ml-spectral-clustering-for-image-segmentation-49278) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-spectral-clustering-for-image-segmentation-49278) |\n| 0141 | [๐Ÿ“– Feature Scaling in Machine Learning](https://labex.io/tutorials/ml-feature-scaling-in-machine-learning-49277) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-feature-scaling-in-machine-learning-49277) |\n| 0142 | [๐Ÿ“– Polynomial Kernel Approximation with Scikit-Learn](https://labex.io/tutorials/ml-polynomial-kernel-approximation-with-scikit-learn-49276) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-polynomial-kernel-approximation-with-scikit-learn-49276) |\n| 0143 | [๐Ÿ“– Multiclass ROC Evaluation with Scikit-Learn](https://labex.io/tutorials/ml-multiclass-roc-evaluation-with-scikit-learn-49275) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-multiclass-roc-evaluation-with-scikit-learn-49275) |\n| 0144 | [๐Ÿ“– Scikit-Learn Visualization API](https://labex.io/tutorials/ml-scikit-learn-visualization-api-49274) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-visualization-api-49274) |\n| 0145 | [๐Ÿ“– ROC with Cross Validation](https://labex.io/tutorials/ml-roc-with-cross-validation-49273) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-roc-with-cross-validation-49273) |\n| 0146 | [๐Ÿ“– Robust Covariance Estimation in Python](https://labex.io/tutorials/ml-robust-covariance-estimation-in-python-49272) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-robust-covariance-estimation-in-python-49272) |\n| 0147 | [๐Ÿ“– Robust Linear Estimator Fitting](https://labex.io/tutorials/ml-robust-linear-estimator-fitting-49271) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-robust-linear-estimator-fitting-49271) |\n| 0148 | [๐Ÿ“– Scikit-Learn Ridge Regression Example](https://labex.io/tutorials/ml-scikit-learn-ridge-regression-example-49270) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-ridge-regression-example-49270) |\n| 0149 | [๐Ÿ“– Nonparametric Isotonic Regression with Scikit-Learn](https://labex.io/tutorials/ml-nonparametric-isotonic-regression-with-scikit-learn-49172) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-nonparametric-isotonic-regression-with-scikit-learn-49172) |\n| 0150 | [๐Ÿ“– Gradient Boosting Regularization](https://labex.io/tutorials/ml-gradient-boosting-regularization-49154) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-gradient-boosting-regularization-49154) |\n| 0151 | [๐Ÿ“– Plot Grid Search Digits](https://labex.io/tutorials/ml-plot-grid-search-digits-49155) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-grid-search-digits-49155) |\n| 0152 | [๐Ÿ“– Balance Model Complexity and Cross-Validated Score](https://labex.io/tutorials/ml-balance-model-complexity-and-cross-validated-score-49156) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-balance-model-complexity-and-cross-validated-score-49156) |\n| 0153 | [๐Ÿ“– Text Feature Extraction and Evaluation](https://labex.io/tutorials/ml-text-feature-extraction-and-evaluation-49157) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-text-feature-extraction-and-evaluation-49157) |\n| 0154 | [๐Ÿ“– FeatureHasher and DictVectorizer Comparison](https://labex.io/tutorials/ml-featurehasher-and-dictvectorizer-comparison-49158) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-featurehasher-and-dictvectorizer-comparison-49158) |\n| 0155 | [๐Ÿ“– Demo of HDBSCAN Clustering Algorithm](https://labex.io/tutorials/ml-demo-of-hdbscan-clustering-algorithm-49159) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-demo-of-hdbscan-clustering-algorithm-49159) |\n| 0156 | [๐Ÿ“– Plot Huber vs Ridge](https://labex.io/tutorials/ml-plot-huber-vs-ridge-49160) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-huber-vs-ridge-49160) |\n| 0157 | [๐Ÿ“– Blind Source Separation](https://labex.io/tutorials/ml-blind-source-separation-49161) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-blind-source-separation-49161) |\n| 0158 | [๐Ÿ“– Independent Component Analysis with FastICA and PCA](https://labex.io/tutorials/ml-independent-component-analysis-with-fastica-and-pca-49162) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-independent-component-analysis-with-fastica-and-pca-49162) |\n| 0159 | [๐Ÿ“– Image Denoising Using Dictionary Learning](https://labex.io/tutorials/ml-image-denoising-using-dictionary-learning-49163) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-image-denoising-using-dictionary-learning-49163) |\n| 0160 | [๐Ÿ“– Incremental Principal Component Analysis on Iris Dataset](https://labex.io/tutorials/ml-incremental-principal-component-analysis-on-iris-dataset-49164) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-incremental-principal-component-analysis-on-iris-dataset-49164) |\n| 0161 | [๐Ÿ“– Inductive Clustering with Scikit-Learn](https://labex.io/tutorials/ml-inductive-clustering-with-scikit-learn-49165) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-inductive-clustering-with-scikit-learn-49165) |\n| 0162 | [๐Ÿ“– Iris Flower Classification with Scikit-learn](https://labex.io/tutorials/ml-iris-flower-classification-with-scikit-learn-49166) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-iris-flower-classification-with-scikit-learn-49166) |\n| 0163 | [๐Ÿ“– Decision Trees on Iris Dataset](https://labex.io/tutorials/ml-decision-trees-on-iris-dataset-49167) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-decision-trees-on-iris-dataset-49167) |\n| 0164 | [๐Ÿ“– Iris Flower Binary Classification Using SVM](https://labex.io/tutorials/ml-iris-flower-binary-classification-using-svm-49168) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-iris-flower-binary-classification-using-svm-49168) |\n| 0165 | [๐Ÿ“– Logistic Regression Classifier on Iris Dataset](https://labex.io/tutorials/ml-logistic-regression-classifier-on-iris-dataset-49169) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-logistic-regression-classifier-on-iris-dataset-49169) |\n| 0166 | [๐Ÿ“– SVM Classifier on Iris Dataset](https://labex.io/tutorials/ml-svm-classifier-on-iris-dataset-49170) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-classifier-on-iris-dataset-49170) |\n| 0167 | [๐Ÿ“– Anomaly Detection with Isolation Forest](https://labex.io/tutorials/ml-anomaly-detection-with-isolation-forest-49171) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-anomaly-detection-with-isolation-forest-49171) |\n| 0168 | [๐Ÿ“– K-Means++ Clustering with Scikit-Learn](https://labex.io/tutorials/ml-k-means-clustering-with-scikit-learn-49181) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-k-means-clustering-with-scikit-learn-49181) |\n| 0169 | [๐Ÿ“– Scikit-Learn Lasso Regression](https://labex.io/tutorials/ml-scikit-learn-lasso-regression-49189) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-lasso-regression-49189) |\n| 0170 | [๐Ÿ“– Lasso and Elastic Net](https://labex.io/tutorials/ml-lasso-and-elastic-net-49188) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-lasso-and-elastic-net-49188) |\n| 0171 | [๐Ÿ“– Sparse Signal Regression with L1-Based Models](https://labex.io/tutorials/ml-sparse-signal-regression-with-l1-based-models-49187) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-sparse-signal-regression-with-l1-based-models-49187) |\n| 0172 | [๐Ÿ“– Label Propagation Learning](https://labex.io/tutorials/ml-label-propagation-learning-49186) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-label-propagation-learning-49186) |\n| 0173 | [๐Ÿ“– Semi-Supervised Learning Withel Spreading](https://labex.io/tutorials/ml-semi-supervised-learning-withel-spreading-49185) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-semi-supervised-learning-withel-spreading-49185) |\n| 0174 | [๐Ÿ“– Active Learning Withel Propagation](https://labex.io/tutorials/ml-active-learning-withel-propagation-49184) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-active-learning-withel-propagation-49184) |\n| 0175 | [๐Ÿ“– Empirical Evaluation of K-Means Initialization](https://labex.io/tutorials/ml-empirical-evaluation-of-k-means-initialization-49183) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-empirical-evaluation-of-k-means-initialization-49183) |\n| 0176 | [๐Ÿ“– Clustering Analysis with Silhouette Method](https://labex.io/tutorials/ml-clustering-analysis-with-silhouette-method-49182) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-clustering-analysis-with-silhouette-method-49182) |\n| 0177 | [๐Ÿ“– Exploring Johnson-Lindenstrauss Lemma with Random Projections](https://labex.io/tutorials/ml-exploring-johnson-lindenstrauss-lemma-with-random-projections-49174) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-exploring-johnson-lindenstrauss-lemma-with-random-projections-49174) |\n| 0178 | [๐Ÿ“– Explicit Feature Map Approximation for RBF Kernels](https://labex.io/tutorials/ml-explicit-feature-map-approximation-for-rbf-kernels-49176) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-explicit-feature-map-approximation-for-rbf-kernels-49176) |\n| 0179 | [๐Ÿ“– Simple 1D Kernel Density Estimation](https://labex.io/tutorials/ml-simple-1d-kernel-density-estimation-49175) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-simple-1d-kernel-density-estimation-49175) |\n| 0180 | [๐Ÿ“– Principal Component Analysis with Kernel PCA](https://labex.io/tutorials/ml-principal-component-analysis-with-kernel-pca-49177) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-principal-component-analysis-with-kernel-pca-49177) |\n| 0181 | [๐Ÿ“– Scikit-Learn Iterative Imputer](https://labex.io/tutorials/ml-scikit-learn-iterative-imputer-49173) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-iterative-imputer-49173) |\n| 0182 | [๐Ÿ“– Gradient Boosting with Categorical Features](https://labex.io/tutorials/ml-gradient-boosting-with-categorical-features-49149) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-gradient-boosting-with-categorical-features-49149) |\n| 0183 | [๐Ÿ“– Early Stopping of Gradient Boosting](https://labex.io/tutorials/ml-early-stopping-of-gradient-boosting-49150) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-early-stopping-of-gradient-boosting-49150) |\n| 0184 | [๐Ÿ“– Gradient Boosting Out-of-Bag Estimates](https://labex.io/tutorials/ml-gradient-boosting-out-of-bag-estimates-49151) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-gradient-boosting-out-of-bag-estimates-49151) |\n| 0185 | [๐Ÿ“– Prediction Intervals for Gradient Boosting Regression](https://labex.io/tutorials/ml-prediction-intervals-for-gradient-boosting-regression-49152) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-prediction-intervals-for-gradient-boosting-regression-49152) |\n| 0186 | [๐Ÿ“– Gradient Boosting Regression](https://labex.io/tutorials/ml-gradient-boosting-regression-49153) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-gradient-boosting-regression-49153) |\n| 0187 | [๐Ÿ“– Gradient Boosting Regularization](https://labex.io/tutorials/ml-gradient-boosting-regularization-49154) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-gradient-boosting-regularization-49154) |\n| 0188 | [๐Ÿ“– Plot Grid Search Digits](https://labex.io/tutorials/ml-plot-grid-search-digits-49155) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-grid-search-digits-49155) |\n| 0189 | [๐Ÿ“– Balance Model Complexity and Cross-Validated Score](https://labex.io/tutorials/ml-balance-model-complexity-and-cross-validated-score-49156) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-balance-model-complexity-and-cross-validated-score-49156) |\n| 0190 | [๐Ÿ“– Text Feature Extraction and Evaluation](https://labex.io/tutorials/ml-text-feature-extraction-and-evaluation-49157) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-text-feature-extraction-and-evaluation-49157) |\n| 0191 | [๐Ÿ“– FeatureHasher and DictVectorizer Comparison](https://labex.io/tutorials/ml-featurehasher-and-dictvectorizer-comparison-49158) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-featurehasher-and-dictvectorizer-comparison-49158) |\n| 0192 | [๐Ÿ“– Demo of HDBSCAN Clustering Algorithm](https://labex.io/tutorials/ml-demo-of-hdbscan-clustering-algorithm-49159) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-demo-of-hdbscan-clustering-algorithm-49159) |\n| 0193 | [๐Ÿ“– Plot Huber vs Ridge](https://labex.io/tutorials/ml-plot-huber-vs-ridge-49160) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-huber-vs-ridge-49160) |\n| 0194 | [๐Ÿ“– Blind Source Separation](https://labex.io/tutorials/ml-blind-source-separation-49161) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-blind-source-separation-49161) |\n| 0195 | [๐Ÿ“– Independent Component Analysis with FastICA and PCA](https://labex.io/tutorials/ml-independent-component-analysis-with-fastica-and-pca-49162) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-independent-component-analysis-with-fastica-and-pca-49162) |\n| 0196 | [๐Ÿ“– Image Denoising Using Dictionary Learning](https://labex.io/tutorials/ml-image-denoising-using-dictionary-learning-49163) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-image-denoising-using-dictionary-learning-49163) |\n| 0197 | [๐Ÿ“– Incremental Principal Component Analysis on Iris Dataset](https://labex.io/tutorials/ml-incremental-principal-component-analysis-on-iris-dataset-49164) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-incremental-principal-component-analysis-on-iris-dataset-49164) |\n| 0198 | [๐Ÿ“– Inductive Clustering with Scikit-Learn](https://labex.io/tutorials/ml-inductive-clustering-with-scikit-learn-49165) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-inductive-clustering-with-scikit-learn-49165) |\n| 0199 | [๐Ÿ“– Iris Flower Classification with Scikit-learn](https://labex.io/tutorials/ml-iris-flower-classification-with-scikit-learn-49166) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-iris-flower-classification-with-scikit-learn-49166) |\n| 0200 | [๐Ÿ“– Decision Trees on Iris Dataset](https://labex.io/tutorials/ml-decision-trees-on-iris-dataset-49167) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-decision-trees-on-iris-dataset-49167) |\n| 0201 | [๐Ÿ“– Iris Flower Binary Classification Using SVM](https://labex.io/tutorials/ml-iris-flower-binary-classification-using-svm-49168) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-iris-flower-binary-classification-using-svm-49168) |\n| 0202 | [๐Ÿ“– Logistic Regression Classifier on Iris Dataset](https://labex.io/tutorials/ml-logistic-regression-classifier-on-iris-dataset-49169) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-logistic-regression-classifier-on-iris-dataset-49169) |\n| 0203 | [๐Ÿ“– SVM Classifier on Iris Dataset](https://labex.io/tutorials/ml-svm-classifier-on-iris-dataset-49170) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-svm-classifier-on-iris-dataset-49170) |\n| 0204 | [๐Ÿ“– Anomaly Detection with Isolation Forest](https://labex.io/tutorials/ml-anomaly-detection-with-isolation-forest-49171) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-anomaly-detection-with-isolation-forest-49171) |\n| 0205 | [๐Ÿ“– Nonparametric Isotonic Regression with Scikit-Learn](https://labex.io/tutorials/ml-nonparametric-isotonic-regression-with-scikit-learn-49172) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-nonparametric-isotonic-regression-with-scikit-learn-49172) |\n| 0206 | [๐Ÿ“– Scikit-Learn Iterative Imputer](https://labex.io/tutorials/ml-scikit-learn-iterative-imputer-49173) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-scikit-learn-iterative-imputer-49173) |\n| 0207 | [๐Ÿ“– Exploring Johnson-Lindenstrauss Lemma with Random Projections](https://labex.io/tutorials/ml-exploring-johnson-lindenstrauss-lemma-with-random-projections-49174) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-exploring-johnson-lindenstrauss-lemma-with-random-projections-49174) |\n| 0208 | [๐Ÿ“– Simple 1D Kernel Density Estimation](https://labex.io/tutorials/ml-simple-1d-kernel-density-estimation-49175) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-simple-1d-kernel-density-estimation-49175) |\n| 0209 | [๐Ÿ“– Explicit Feature Map Approximation for RBF Kernels](https://labex.io/tutorials/ml-explicit-feature-map-approximation-for-rbf-kernels-49176) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-explicit-feature-map-approximation-for-rbf-kernels-49176) |\n| 0210 | [๐Ÿ“– Principal Component Analysis with Kernel PCA](https://labex.io/tutorials/ml-principal-component-analysis-with-kernel-pca-49177) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-principal-component-analysis-with-kernel-pca-49177) |\n| 0211 | [๐Ÿ“– Plot Kernel Ridge Regression](https://labex.io/tutorials/ml-plot-kernel-ridge-regression-49178) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-plot-kernel-ridge-regression-49178) |\n| 0212 | [๐Ÿ“– Exploring K-Means Clustering Assumptions](https://labex.io/tutorials/ml-exploring-k-means-clustering-assumptions-49179) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-exploring-k-means-clustering-assumptions-49179) |\n| 0213 | [๐Ÿ“– K-Means Clustering on Handwritten Digits](https://labex.io/tutorials/ml-k-means-clustering-on-handwritten-digits-49180) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-k-means-clustering-on-handwritten-digits-49180) |\n| 0214 | [๐Ÿ“– K-Means++ Clustering with Scikit-Learn](https://labex.io/tutorials/ml-k-means-clustering-with-scikit-learn-49181) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-k-means-clustering-with-scikit-learn-49181) |\n| 0215 | [๐Ÿ“– Clustering Analysis with Silhouette Method](https://labex.io/tutorials/ml-clustering-analysis-with-silhouette-method-49182) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-clustering-analysis-with-silhouette-method-49182) |\n| 0216 | [๐Ÿ“– Empirical Evaluation of K-Means Initialization](https://labex.io/tutorials/ml-empirical-evaluation-of-k-means-initialization-49183) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-empirical-evaluation-of-k-means-initialization-49183) |\n| 0217 | [๐Ÿ“– Active Learning Withel Propagation](https://labex.io/tutorials/ml-active-learning-withel-propagation-49184) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-active-learning-withel-propagation-49184) |\n| 0218 | [๐Ÿ“– Semi-Supervised Learning Withel Spreading](https://labex.io/tutorials/ml-semi-supervised-learning-withel-spreading-49185) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-semi-supervised-learning-withel-spreading-49185) |\n| 0219 | [๐Ÿ“– Label Propagation Learning](https://labex.io/tutorials/ml-label-propagation-learning-49186) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-label-propagation-learning-49186) |\n| 0220 | [๐Ÿ“– Sparse Signal Regression with L1-Based Models](https://labex.io/tutorials/ml-sparse-signal-regression-with-l1-based-models-49187) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-sparse-signal-regression-with-l1-based-models-49187) |\n| 0221 | [๐Ÿ“– Lasso and Elastic Net](https://labex.io/tutorials/ml-lasso-and-elastic-net-49188) | Beginner | [๐Ÿ”— View](https://labex.io/tutorials/ml-lasso-and-elastic-net-49188) |\n| 0222 | [๐Ÿ“– Scikit-Learn Lasso Regression](https://labex.io/tutorials/ml-scikit-learn-lasso-reg","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/labex-labs%2Fml-free-tutorials/projects"}