Prerequisite

Pre-requisite

``pip install -r requirements.txt    ``

Test data is available:

/data_sample

Supervised Learning

Model Name	Type	Code Path
Logistic Regression	Classification	code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/05_LinearRegression_Sk_learn_Demo.ipynb
Linear Regression	Regression	code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/06_LinearRegression.ipynb
Decission Trees	Classification/ Regression	code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/10_DecissionTree_Classifier_01.ipynb
Random Forest	Classification/Regression	code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/11_Bagging_RandomForest_classifier.ipynb
K-Nearest Neighbors	Classification/Regression	code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/08_KNNALgo.ipynb
Support Vector MAchines	Classification/ Regression	code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/12_SVM_Linear_example.ipynb

UnSupervised Learning