├── adaboost_demo.ipynb ├── day15 - working with csv files ├── IPL Matches 2008-2020.csv ├── aug_train.csv ├── movie_titles_metadata.tsv ├── readme.md ├── test.csv ├── working-with-csv.ipynb └── zomato.csv ├── day16 - working-with-json-and-sql ├── day16.ipynb ├── readme.md └── train.json ├── day17-api-to-dataframe ├── day17.ipynb ├── movies.csv └── readme.md ├── day18-pandas-dataframe-using-web-scraping ├── day18.ipynb └── readme.md ├── day19-understanding-your-data-descriptive-stats ├── day19.ipynb ├── readme.md └── train.csv ├── day20-univariate-analysis ├── day20.ipynb ├── readme.md └── train.csv ├── day21-bivariate-analysis ├── day21.ipynb ├── readme.md └── train.csv ├── day22-pandas-profiling ├── day22.ipynb ├── output.html ├── readme.md └── train.csv ├── day24-standardization ├── Social_Network_Ads.csv ├── day24.ipynb └── readme.md ├── day25-normalization ├── day25.ipynb ├── readme.md └── wine_data.csv ├── day26-ordinal-encoding ├── customer.csv ├── day26.ipynb └── readme.md ├── day27-one-hot-encoding ├── cars.csv ├── day27.ipynb └── readme.md ├── day28-column-transformer ├── covid_toy.csv ├── day28.ipynb └── readme.md ├── day29-sklearn-pipelines ├── model │ ├── clf.pkl │ ├── ohe_embarked.pkl │ ├── ohe_sex.pkl │ └── readme.md ├── pipe.pkl ├── predict-using-pipeline.ipynb ├── predict-without-pipeline.ipynb ├── readme.md ├── titanic-using-pipeline.ipynb ├── titanic-without-using-pipeline.ipynb └── train.csv ├── day30-function-transformer ├── day30.ipynb ├── readme.md └── train.csv ├── day31-power-transformer ├── concrete_data.csv ├── day31.ipynb └── readme.md ├── day32-binning-and-binarization ├── binarization.ipynb ├── day32.ipynb ├── readme.md └── train.csv ├── day33-handling-mixed-variables ├── Untitled.ipynb ├── readme.md └── titanic.csv ├── day34-handling-date-and-time ├── messages.csv ├── orders.csv ├── readme.md └── working-with-dates-and-time.ipynb ├── day35-complete-case-analysis ├── data_science_job.csv ├── day35.ipynb └── readme.md ├── day36-imputing-numerical-data ├── arbitrary-value-imputation.ipynb ├── mean-median-imputation.ipynb ├── readme.md └── titanic_toy.csv ├── day37-handling-missing-categorical-data ├── frequent-value-imputation.ipynb ├── missing-category-imputation.ipynb ├── readme.md └── train.csv ├── day38-missing-indicator ├── automatically-select-imputer-parameters.ipynb ├── house-train.csv ├── missing-indicator.ipynb ├── random-sample-imputation.ipynb ├── readme.md └── train.csv ├── day39-knn-imputer ├── day39.ipynb ├── readme.md └── train.csv ├── day40-iterative-imputer ├── 50_Startups.csv ├── readme.md └── step-by-step.ipynb ├── day42-outlier-removal-using-zscore ├── day42.ipynb ├── placement.csv └── readme.md ├── day43-outlier-removal-using-iqr-method ├── day43.ipynb ├── placement.csv └── readme.md ├── day44-outlier-detection-using-percentiles ├── day44.ipynb ├── readme.md └── weight-height.csv ├── day45-feature-construction-and-feature-splitting ├── day45.ipynb ├── readme.md └── train.csv ├── day47-pca ├── pca_step_by_step (1).ipynb └── readme.md ├── day48-simple-linear-regression ├── Untitled.ipynb ├── Untitled1.ipynb ├── placement.csv └── readme.md ├── day49-regression-metrics ├── Untitled.ipynb ├── placement.csv └── readme.md ├── day50-multiple-linear-regression ├── code-from-scratch.ipynb ├── multiple_linear_regression.ipynb └── readme.md ├── day51-gradient-descent ├── animation.gif ├── animation1.gif ├── animation2.gif ├── animation3.gif ├── animation4.gif ├── animation5.gif ├── animation6.gif ├── animation7.gif ├── animation8.gif ├── animation9.gif ├── cost_function.html ├── cost_function2.html ├── gradient-descent-3d.ipynb ├── gradient-descent-animation(both-m-and-b).ipynb ├── gradient-descent-animation(onlyb).ipynb ├── gradient-descent-code-from-scratch.ipynb ├── gradient_descent_step_by_step.ipynb └── readme.md ├── day52-types-of-gradient-descent ├── batch-gradient-descent.ipynb ├── mini-batch-gradient-descent-from-scratch.ipynb ├── mini_batch_contour_plot.gif ├── readme.md ├── stochastic-gradient-descent-animation.ipynb ├── stochastic-gradient-descent-from-scratch.ipynb ├── stochastic_animation_contour_plot.gif ├── stochastic_animation_cost_plot.gif └── stochastic_animation_line_plot.gif ├── day53-polynomial-regression ├── polynomial-regression.ipynb └── readme.md ├── day55-regularized-linear-models ├── Ridge Regularization.ipynb ├── readme.md ├── ridge-regression-from-scratch-m-and-b.ipynb ├── ridge-regression-from-scratch.ipynb ├── ridge-regression-gradient-descent.ipynb └── ridge-regression-key-understandings.ipynb ├── day56-lasso-regression ├── lasso-regression-demo.ipynb ├── lasso-regression-key-points.ipynb └── readme.md ├── day57-elasticnet-regression ├── elastic-net-regression.ipynb └── readme.md ├── day58-logistic-regression ├── gradient-descent.ipynb ├── perceptron-trick-sigmoid.ipynb ├── perceptron-trick.ipynb └── readme.md ├── day59-classification-metrics ├── classification-metrics-binary.ipynb ├── classification-metrics-multi-iris1.ipynb ├── classification-metrics-multi-mnist1.ipynb └── readme.md ├── day60-logistic-regression-contd ├── polynomial-logistic-regression.ipynb ├── readme.md ├── softmax-demo.ipynb └── streamlit-viz-tool.py ├── day65-random-forest ├── bagging_vs_random_forest.ipynb ├── code-example-random-forest.ipynb ├── feature-importance-in-sklearn.ipynb ├── heart.csv ├── how-feature-importance-is-calculated.ipynb ├── oob-score-demo.ipynb ├── random_forest_demo.ipynb ├── readme.md └── rf_learning_tool.ipynb ├── day66-adaboost ├── adaboost-hyperparameter.ipynb ├── adaboost_demo.ipynb └── readme.md ├── day68-stacking ├── day68-stacking-and-blending ├── Untitled.ipynb ├── heart.csv └── readme1.md ├── gradient-boosting ├── gradient_boost_step_by_step.ipynb └── readme.md └── kmeans ├── app.py ├── kmeans-clustering-demo.ipynb ├── kmeans.py ├── readme.md └── student_clustering.csv /adaboost_demo.ipynb: 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