GitHub - agolroo/Statistics-for-Machine-Learning-Using-Python: This repository provides the Python codes for the book entitled Statistics for Machine Learning Using Python.

agolroo / Statistics-for-Machine-Learning-Using-Python Public

This repository provides the Python codes for the book entitled Statistics for Machine Learning Using Python.

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Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
Ch_01_Data_Types.ipynb		Ch_01_Data_Types.ipynb
Ch_02_Descriptive_Statistics.ipynb		Ch_02_Descriptive_Statistics.ipynb
Ch_03_Visualization.ipynb		Ch_03_Visualization.ipynb
Ch_04_Data_Preparation.ipynb		Ch_04_Data_Preparation.ipynb
Ch_05_Probability.ipynb		Ch_05_Probability.ipynb
Ch_06_Probability_Distributions.ipynb		Ch_06_Probability_Distributions.ipynb
Ch_07_Parameter_Estimation.ipynb		Ch_07_Parameter_Estimation.ipynb
Ch_08_Hypothesis_Tests.ipynb		Ch_08_Hypothesis_Tests.ipynb
Ch_09_Parametric_NonParametric_Tests.ipynb		Ch_09_Parametric_NonParametric_Tests.ipynb
Ch_10_Regression.ipynb		Ch_10_Regression.ipynb
Ch_11_Regression_Evaluation.ipynb		Ch_11_Regression_Evaluation.ipynb
Ch_12_01_K_Nearest_Neighbours.ipynb		Ch_12_01_K_Nearest_Neighbours.ipynb
Ch_12_02_Decision_Tree.ipynb		Ch_12_02_Decision_Tree.ipynb
Ch_12_03_Random_Forest.ipynb		Ch_12_03_Random_Forest.ipynb
Ch_12_04_Logistic_Regression.ipynb		Ch_12_04_Logistic_Regression.ipynb
Ch_12_05_Support_Vector_Machine.ipynb		Ch_12_05_Support_Vector_Machine.ipynb
Ch_12_06_Naive_Bayes.ipynb		Ch_12_06_Naive_Bayes.ipynb
Ch_12_07_Artificial_Neural_Network.ipynb		Ch_12_07_Artificial_Neural_Network.ipynb
Ch_12_08_Bagging.ipynb		Ch_12_08_Bagging.ipynb
Ch_12_08_Boosting.ipynb		Ch_12_08_Boosting.ipynb
Ch_12_09_K_Means.ipynb		Ch_12_09_K_Means.ipynb
Ch_12_10_Hierarchical.ipynb		Ch_12_10_Hierarchical.ipynb
Ch_12_11_DBSCN.ipynb		Ch_12_11_DBSCN.ipynb
Ch_12_12_Principal_Component_Analysis.ipynb		Ch_12_12_Principal_Component_Analysis.ipynb