├── IQR method for handling outliers.ipynb ├── Iterative Imputer demo.ipynb ├── README.md ├── Winsorizing outliers.ipynb ├── column transformer part 1.ipynb ├── column transformer part 2.ipynb ├── confusion matrix metrics + ROC & PR curves.ipynb ├── cross validation.ipynb ├── data ├── churn modelling.csv └── income_evaluation.csv ├── exponential and log transformer.ipynb ├── grid search.ipynb ├── knn imputer.ipynb ├── label encoder.ipynb ├── maxabs scaler.ipynb ├── min max scaler.ipynb ├── missing indicator.ipynb ├── normalizer.ipynb ├── one hot encoder.ipynb ├── ordinal encoder.ipynb ├── pipeline.ipynb ├── power transformer.ipynb ├── ppts ├── CM metrics 1-4.pptx ├── CM metrics 5-6.pptx ├── Feature scaling.pptx ├── Grid Search.pptx ├── KNN Imputer Algorithm.pptx ├── README.md ├── bias variance.pptx ├── confusion matrix.pptx ├── cross validation.pptx ├── mcc.pptx ├── mice.pptx ├── outlier.pptx └── roc pr auc.pptx ├── quantile transformer.ipynb ├── robust scaler.ipynb ├── simple imputer.ipynb ├── standard scaler.ipynb ├── train_test_split.ipynb ├── why NEVER use pd.get_dummies.ipynb └── z score for handling outliers.ipynb /IQR method for handling outliers.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rachittoshniwal/machineLearning/HEAD/IQR method for handling outliers.ipynb -------------------------------------------------------------------------------- /Iterative Imputer demo.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rachittoshniwal/machineLearning/HEAD/Iterative Imputer demo.ipynb -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rachittoshniwal/machineLearning/HEAD/README.md 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& PR curves.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rachittoshniwal/machineLearning/HEAD/confusion matrix metrics + ROC & PR curves.ipynb -------------------------------------------------------------------------------- /cross validation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rachittoshniwal/machineLearning/HEAD/cross validation.ipynb -------------------------------------------------------------------------------- /data/churn modelling.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rachittoshniwal/machineLearning/HEAD/data/churn modelling.csv -------------------------------------------------------------------------------- /data/income_evaluation.csv: -------------------------------------------------------------------------------- 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encoder.ipynb -------------------------------------------------------------------------------- /pipeline.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rachittoshniwal/machineLearning/HEAD/pipeline.ipynb -------------------------------------------------------------------------------- /power transformer.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rachittoshniwal/machineLearning/HEAD/power transformer.ipynb -------------------------------------------------------------------------------- /ppts/CM metrics 1-4.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rachittoshniwal/machineLearning/HEAD/ppts/CM metrics 1-4.pptx -------------------------------------------------------------------------------- /ppts/CM metrics 5-6.pptx: 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