├── .DS_Store ├── 01 Linear Regression ├── Gradient_Descent_Demo.ipynb ├── Linear_Regression.ipynb └── Linear_Regression_with_Multiple_Features.ipynb ├── 02 Logistic Regression └── Logistic_Regression.ipynb ├── 03 Dimensionality Reduction └── PCA.ipynb ├── 04 PCA └── PCA.ipynb ├── 05 KNN └── K_Nearest_Neigbours.ipynb ├── 06 K-Means └── K_Means.ipynb ├── 07 Naive Bayes ├── Naive Bayes For Text Classification.ipynb └── Spam Classifier.ipynb ├── 08 Decision Trees ├── Decision Trees.ipynb └── Titanic Survival Prediction.ipynb └── 09 Ensemble Learning ├── Customer_Churn_Prediction.ipynb ├── Ensemble - Bagging.ipynb └── Ensemble Learning - Boosting.ipynb /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/prateek27/machine-learning-essentials/HEAD/.DS_Store -------------------------------------------------------------------------------- /01 Linear Regression/Gradient_Descent_Demo.ipynb: 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