100 days-of-ML

This repository contains my practice work for ongoing Machine Learning course that I'm currently taking. The work includes various projects, exercises, and code snippets that demonstrate my progress and skills in the field.

Name		Name	Last commit message	Last commit date
Latest commit History 66 Commits
Day-29		Day-29
Day_38		Day_38
IISC		IISC
CLT.ipynb		CLT.ipynb
Day-21		Day-21
Day_21_Bi_Multi_variate_analysis.ipynb		Day_21_Bi_Multi_variate_analysis.ipynb
Day_22_Pandas_Profiling_day.ipynb		Day_22_Pandas_Profiling_day.ipynb
Day_24_Standardization.ipynb		Day_24_Standardization.ipynb
Day_25_Normalization.ipynb		Day_25_Normalization.ipynb
Day_26_Ordinal_Encoding.ipynb		Day_26_Ordinal_Encoding.ipynb
Day_27_One_hot_encoding.ipynb		Day_27_One_hot_encoding.ipynb
Day_28_Column_Transformer.ipynb		Day_28_Column_Transformer.ipynb
Day_30Function_Transformer_.ipynb		Day_30Function_Transformer_.ipynb
Day_31_power_transformer.ipynb		Day_31_power_transformer.ipynb
Day_32_Discretization.ipynb		Day_32_Discretization.ipynb
Day_33_Mized_Data_Handling.ipynb		Day_33_Mized_Data_Handling.ipynb
Day_34_Date_and_Time.ipynb		Day_34_Date_and_Time.ipynb
Day_35_Handling_Missing_data.ipynb		Day_35_Handling_Missing_data.ipynb
Day_36_Handling_missing_numerical_data.ipynb		Day_36_Handling_missing_numerical_data.ipynb
Day_37_Imputing_missing_categorical_values.ipynb		Day_37_Imputing_missing_categorical_values.ipynb
Day_39_KNNImputer.ipynb		Day_39_KNNImputer.ipynb
Day_40_MICE_algorithm.ipynb		Day_40_MICE_algorithm.ipynb
Day_42_Z_score_method.ipynb		Day_42_Z_score_method.ipynb
Day_44_Percentile_method.ipynb		Day_44_Percentile_method.ipynb
Day_45.ipynb		Day_45.ipynb
Day_47_PCAintution.ipynb		Day_47_PCAintution.ipynb
Day_48_SimpleLR.ipynb		Day_48_SimpleLR.ipynb
Day_50_LR_visualization.ipynb		Day_50_LR_visualization.ipynb
Day_52_personal_LR.ipynb		Day_52_personal_LR.ipynb
Day_53_GD.ipynb		Day_53_GD.ipynb
Day_53_Gradient_regressor.ipynb		Day_53_Gradient_regressor.ipynb
Day_54_SGDRegressor.ipynb		Day_54_SGDRegressor.ipynb
Day_55_MBGDRegressor.ipynb		Day_55_MBGDRegressor.ipynb
Day_57_Regularization.ipynb		Day_57_Regularization.ipynb
Day_58_MyRidge.ipynb		Day_58_MyRidge.ipynb
Day_58_ridge_regression_from_scratch.ipynb		Day_58_ridge_regression_from_scratch.ipynb
Day_59_ridge_regression_gradient_descent.ipynb		Day_59_ridge_regression_gradient_descent.ipynb
Day_70_Perceptron_Trick.ipynb		Day_70_Perceptron_Trick.ipynb
Day_77_softmax.ipynb		Day_77_softmax.ipynb
Day_78_Polynomial Regression.ipynb		Day_78_Polynomial Regression.ipynb
Independent_2_sample_t_test.ipynb		Independent_2_sample_t_test.ipynb
JSON_Day_16.ipynb		JSON_Day_16.ipynb
Kaggle_challenge.ipynb		Kaggle_challenge.ipynb
Popular_Distributions.ipynb		Popular_Distributions.ipynb
README.md		README.md
Session on Non-Gaussian Distribution.pdf		Session on Non-Gaussian Distribution.pdf
Univariate_EDA_day_18.ipynb		Univariate_EDA_day_18.ipynb
Web_scraping_ambition_box.ipynb		Web_scraping_ambition_box.ipynb
day_56_polynomial_regression.ipynb		day_56_polynomial_regression.ipynb
day_82_dtreeviz_demo.ipynb		day_82_dtreeviz_demo.ipynb
dbscan_demo.ipynb		dbscan_demo.ipynb
gender_submission.csv		gender_submission.csv
output.html		output.html
roc_auc.ipynb		roc_auc.ipynb
test.csv		test.csv
train.csv		train.csv

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