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data-science-learning-path
Data Science Learning Path - A complete guide to learn data science for beginners
https://github.com/data-folks/data-science-learning-path
Last synced: 2 days ago
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Machine Learning
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Naive Bayes
- Support Vector Machine
- AdaBoost
- Gradient Boosting
- XGBoost
- CatBoost
- Bagging Classifier
- Stacking Classifier
- TOOLBOX: Scikit Learn
- TOOLBOX: statsmodels
- CASE STUDY: House Pricing
- CASE STUDY: Titanic
- CASE STUDY: Credit Scoring
- K-Means Clustering
- DBSCAN
- Hierarchical Clustering
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- Gradient Boosting
- Voting Classifier
- K-NN (K-Nearest Neighbors)
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- Stacking Classifier
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Random Forest
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
- K-NN (K-Nearest Neighbors)
- Gradient Boosting
- Gradient Boosting
- K-NN (K-Nearest Neighbors)
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Evaluation Metrics
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Confusion Matrix
- Accuracy
- Precision
- Recall
- F Score
- Hamming Loss
- ROC (Receiver Operating Characteristic)
- ROC AUC (Area Under Curve)
- Top K Accuracy
- MAE
- MSE
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
- Silhouette Coefficient
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Deep Learning
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Dropout
- Batchnorm
- Learning Rate Scheduler
- TOOLBOX: PyTorch
- TOOLBOX: Tensorflow
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Linear Layer
- CNN (Convolutional Neural Networks)
- RNN (Recurrent Neural Networks)
- Optimization
- Loss Functions / Objective Functions
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Loss Functions / Objective Functions
- Activation Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
- Activation Functions
- Loss Functions / Objective Functions
- Learning Rate Scheduler
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Book References
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NLP & NLU
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Programming
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Mathematics & Statistics
Programming Languages
Categories
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