{"id":24745658,"url":"https://github.com/nextgencodes/dspath","last_synced_at":"2026-04-09T07:37:10.176Z","repository":{"id":269735063,"uuid":"908284068","full_name":"nextgencodes/dspath","owner":"nextgencodes","description":"Collecting DS methods in one place","archived":false,"fork":false,"pushed_at":"2025-02-08T12:17:21.000Z","size":132295,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-08T12:27:07.426Z","etag":null,"topics":["arduino","data-science","data-science-projects","deep","deep-learning","deep-neural-networks","gpu","iot","jetson","machine-learning","machine-learning-algorithms","machine-learning-models","nvidia","raspberrypi","robotics"],"latest_commit_sha":null,"homepage":"https://robo.run.place","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nextgencodes.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-25T17:20:26.000Z","updated_at":"2025-02-08T12:17:24.000Z","dependencies_parsed_at":"2025-01-27T18:40:20.970Z","dependency_job_id":null,"html_url":"https://github.com/nextgencodes/dspath","commit_stats":null,"previous_names":["nextgencodes/dspath"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nextgencodes%2Fdspath","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nextgencodes%2Fdspath/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nextgencodes%2Fdspath/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nextgencodes%2Fdspath/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nextgencodes","download_url":"https://codeload.github.com/nextgencodes/dspath/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245036127,"owners_count":20550662,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["arduino","data-science","data-science-projects","deep","deep-learning","deep-neural-networks","gpu","iot","jetson","machine-learning","machine-learning-algorithms","machine-learning-models","nvidia","raspberrypi","robotics"],"created_at":"2025-01-28T03:20:06.338Z","updated_at":"2025-12-30T23:42:03.631Z","avatar_url":"https://github.com/nextgencodes.png","language":"Jupyter Notebook","readme":"# HyperEscape - Data Science Tutorials\n\nWelcome to Robo.Run.Place, your comprehensive resource for learning data science and machine learning! This repository provides links to our in-depth tutorials covering a wide range of topics, from fundamental algorithms to advanced techniques. Whether you're a beginner or an experienced practitioner, you'll find valuable learning materials here. \n\nOur website ([https://robo.run.place](https://robo.run.place)) offers a structured approach to learning, with clear explanations, practical examples, and hands-on exercises.  \n\n## Course Overview\n\nHere's a breakdown of the topics we cover:\n\n### Classification Algorithms\n   - [Decision Tree](https://robo.run.place/courses/classification/decision-tree/)\n   - [Decision Stump](https://robo.run.place/courses/classification/decision-stump/)\n   - [Naive Bayes](https://robo.run.place/courses/classification/naive-bayes/)\n   - [Gaussian Naive Bayes](https://robo.run.place/courses/classification/gaussian-nb/)\n   - [Bernoulli Naive Bayes](https://robo.run.place/courses/classification/bernoulli-nb/)\n   - [Multinomial Naive Bayes](https://robo.run.place/courses/classification/multinomial-nb/)\n   - [K Nearest Neighbours (KNN)](https://robo.run.place/courses/classification/knn/)\n   - [Support Vector Machine (SVM)](https://robo.run.place/courses/classification/svm/)\n   - [Linear Support Vector Classifier (SVC)](https://robo.run.place/courses/classification/svc/)\n   - [NuSVC](https://robo.run.place/courses/classification/nusvc/)\n   - [Stochastic Gradient Descent Classifier (SGD)](https://robo.run.place/courses/classification/sgd/)\n   - [Bayesian Network](https://robo.run.place/courses/classification/bayesian-network/)\n   - [Logistic Regression](https://robo.run.place/courses/classification/logistic/)\n   - [Zero Rule (ZeroR)](https://robo.run.place/courses/classification/zeror/)\n   - [One Rule (OneR)](https://robo.run.place/courses/classification/oner/)\n   - [Linear Discriminant Analysis (LDA)](https://robo.run.place/courses/classification/lda/)\n   - [Quadratic Discriminant Analysis (QDA)](https://robo.run.place/courses/classification/qda/)\n   - [Fisher's Linear Discriminant](https://robo.run.place/courses/classification/fsd/)\n\n### Regression Analysis\n   - [Linear Regression](https://robo.run.place/courses/regression/lr/)\n   - [Polynomial Regression](https://robo.run.place/courses/regression/polyr/)\n   - [Poisson Regression](https://robo.run.place/courses/regression/poissonr/)\n   - [Ordinary Least Squares (OLS) Regression](https://robo.run.place/courses/regression/olsr/)\n   - [Ordinal Regression](https://robo.run.place/courses/regression/ordinalr/)\n   - [Support Vector Regression](https://robo.run.place/courses/regression/svr/)\n   - [Gradient Descent Regression](https://robo.run.place/courses/regression/gradientdescentr/)\n   - [Stepwise Regression](https://robo.run.place/courses/regression/stepwiser/)\n   - [Lasso Regression (Least absoulute selection and shrinkage operator)](https://robo.run.place/courses/regression/lassor/)\n   - [Ridge Regression (L2)](https://robo.run.place/courses/regression/ridger/)\n   - [Elastic Net Regression](https://robo.run.place/courses/regression/elasticnetr/)\n   - [Bayesian Linear Regression](https://robo.run.place/courses/regression/bayesianlr/)\n   - [Least-Angled Regression (LARS)](https://robo.run.place/courses/regression/lars/)\n   - [Neural Network Regression](https://robo.run.place/courses/regression/nnr/)\n   - [Locally Estimated Scatterplot Smoothing (LOESS)](https://robo.run.place/courses/regression/loessr/)\n   - [Multivariate Adaptive Regression Splines (MARS)](https://robo.run.place/courses/regression/mars/)\n   - [Locally Weighted Regression (LWL)](https://robo.run.place/courses/regression/lwlr/)\n   - [Quantile Regression](https://robo.run.place/courses/regression/quantiler/)\n   - [Principal Component Regression (PCR)](https://robo.run.place/courses/regression/pcr/)\n   - [Partial Least Squares Regression](https://robo.run.place/courses/regression/plsr/)\n\n### Neural Networks\n   - [Perceptron](https://robo.run.place/courses/nn/perceptron/)\n   - [Multilayer Perceptron (MLP)](https://robo.run.place/courses/nn/mlp/)\n   - [Recurrent Neural Network (RNN)](https://robo.run.place/courses/nn/rnn/)\n   - [Convolutional Neural Network (CNN)](https://robo.run.place/courses/nn/cnn/)\n   - [Deep Belief Network (DBN)](https://robo.run.place/courses/nn/dbn/)\n   - [Hopfield Networks](https://robo.run.place/courses/nn/hopfield/)\n   - [Learning Vector Quantization (LVQ)](https://robo.run.place/courses/nn/lvq/)\n   - [Stacked Autoencoder](https://robo.run.place/courses/nn/stackedencoder/)\n   - [Boltzmann Machine](https://robo.run.place/courses/nn/boltzmann/)\n   - [Restricted Boltzmann Machine (RBM)](https://robo.run.place/courses/nn/rbm/)\n   - [Generative Adversarial Networks (GANs)](https://robo.run.place/courses/nn/gan/)\n   - [Variational Autoencoder (VARs)](https://robo.run.place/courses/nn/var/)\n   - [Long Short-Term Memory](https://robo.run.place/courses/nn/lstm/)\n\n### Anomaly Detection\n   - [Isolation Forest](https://robo.run.place/courses/anomaly/isolation-forest/)\n   - [Once Class SVM](https://robo.run.place/courses/anomaly/OcSVM/)\n   - [PCA-Based Anomaly Detection](https://robo.run.place/courses/anomaly/pca-anomaly/)\n   - [Fast-MCD](https://robo.run.place/courses/anomaly/fast-mcd/)\n   - [Local Outlier Factor (LOF)](https://robo.run.place/courses/anomaly/lof/)\n\n### Dimensionality Reduction\n   - [Singular Value Decomposition (SVD)](https://robo.run.place/courses/dimensionality/svd/)\n   - [Forward Feature Selection](https://robo.run.place/courses/dimensionality/forwardfeatures/)\n   - [Backward Feature Elemination](https://robo.run.place/courses/dimensionality/backward-feature/)\n   - [Subset Selection](https://robo.run.place/courses/dimensionality/subsetselection/)\n   - [Principal Component Analysis (PCA)](https://robo.run.place/courses/dimensionality/pca)\n   - [Partial Least Squares Regression (PLSR)](https://robo.run.place/courses/dimensionality/plsr/)\n   - [Latent Dirichlet Analysis (LDA)](https://robo.run.place/courses/dimensionality/lda/)\n   - [Regularized Discriminant Analysis (RDA)](https://robo.run.place/courses/dimensionality/rda/)\n   - [t-Distributed Stochastic Neighbor Embedding (t-SNE)](https://robo.run.place/courses/dimensionality/tsne/)\n   - [Factor Analysis](https://robo.run.place/courses/dimensionality/factor-analysis/)\n   - [Multidimensional Scaling (MDS)](https://robo.run.place/courses/dimensionality/mds/)\n   - [AutoEncoder](https://robo.run.place/courses/dimensionality/autoencoder/)\n   - [Independent Component Analysis (ICA)](https://robo.run.place/courses/dimensionality/ica/)\n   - [Isomap](https://robo.run.place/courses/dimensionality/isomap/)\n   - [Local Linear Embedding (LLE)](https://robo.run.place/courses/dimensionality/lle/)\n   - [Locality-Sensitive Hashing](https://robo.run.place/courses/dimensionality/localitysensitive/)\n   - [Sammon Mapping](https://robo.run.place/courses/dimensionality/sammon/)\n\n### Ensemble\n   - [Random Forest](https://robo.run.place/courses/ensemble/random-forest/)\n   - [Bagging (Bootstrap Aggregation)](https://robo.run.place/courses/ensemble/bagging/)\n   - [AdaBoost](https://robo.run.place/courses/ensemble/adaboost/)\n   - [Gradient Boosting](https://robo.run.place/courses/ensemble/gradient-boosting/)\n   - [Gradient Boosted Regression Trees](https://robo.run.place/courses/ensemble/gradient-boosting-tree)\n   - [XGBoost (Extreme Gradient Boosting)](https://robo.run.place/courses/ensemble/xgboost/)\n   - [Voting Classifier](https://robo.run.place/courses/ensemble/voting-classifier/)\n   - [Extremely Randomized Trees](https://robo.run.place/courses/ensemble/ert/)\n   - [Boosted Decision Tree](https://robo.run.place/courses/ensemble/boosteddt/)\n   - [Category Boosting (CatBoost)](https://robo.run.place/courses/ensemble/category-boosting/)\n   - [Stacked Generalization (Stacking)](https://robo.run.place/courses/ensemble/stacking/)\n\n### Clustering\n   - [K-Means Clustering](https://robo.run.place/courses/clustering/kmeans/)\n   - [K-Medians Clustering](https://robo.run.place/courses/clustering/kmedian/)\n   - [Mean Shift Clustering](https://robo.run.place/courses/clustering/meanshift/)\n   - [K-Modes Clustering](https://robo.run.place/courses/clustering/kmodes/)\n   - [Fuzzy K-Modes](https://robo.run.place/courses/clustering/fuzzy-kmodes/)\n   - [Fuzzy C-Means](https://robo.run.place/courses/clustering/fuzzy-cmeans/)\n   - [Mini Batch K-Means Clustering](https://robo.run.place/courses/clustering/minibatch-kmeans/)\n   - [Hierarchical Clustering](https://robo.run.place/courses/clustering/hierarchical/)\n   - [Expectation Maximization](https://robo.run.place/courses/clustering/expectation-max/)\n   - [DBSCAN](https://robo.run.place/courses/clustering/dbscan/)\n   - [Minimum Spanning Trees](https://robo.run.place/courses/clustering/minimum-spantree/)\n   - [Quality Threshold](https://robo.run.place/courses/clustering/quality-threshold/)\n   - [Gaussian Mixture Model (GMM)](https://robo.run.place/courses/clustering/gmm/)\n   - [Spectral Clustering](https://robo.run.place/courses/clustering/spectral-clustering/)\n\n### Association Rule Learning\n   - [Apriori](https://robo.run.place/courses/association/apriori/)\n   - [Eclat](https://robo.run.place/courses/association/eclat/)\n\n### Regularization\n   - [LASSO Regularization](https://robo.run.place/courses/regularization/lasso/)\n   - [Ridge Regularization](https://robo.run.place/courses/regularization/ridge/)\n   - [Elastic Net Regularization](https://robo.run.place/courses/regularization/elastic-net/)\n\n## Get Started\n\nVisit our website today to start learning: [https://robo.run.place](https://robo.run.place)\n\nWe are constantly updating our content with new tutorials and resources. Stay tuned for more!\n\n## Contributing\n\nIf you have any suggestions for new content, corrections, or improvements, feel free to create an issue or submit a pull request. We welcome contributions from the community.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnextgencodes%2Fdspath","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnextgencodes%2Fdspath","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnextgencodes%2Fdspath/lists"}