Various Implementation of of ML Regregression and Classification algorithms

This is my journey so far on getting to know the basics and foundation of all the ML models that are widely used.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
datasets/MNIST/raw		datasets/MNIST/raw
ACF.py		ACF.py
Boxplot.py		Boxplot.py
Cross Validation.py		Cross Validation.py
Data Processing.py		Data Processing.py
Kaggle Project.py		Kaggle Project.py
L1_L2 MultColl'ty n FS.py		L1_L2 MultColl'ty n FS.py
Lasso_Reg.py		Lasso_Reg.py
List-Tuples-Dict.py		List-Tuples-Dict.py
LogReg_LoanAppProj.py		LogReg_LoanAppProj.py
Multiplots.py		Multiplots.py
PCA.py		PCA.py
Pie Chart.py		Pie Chart.py
Plotting.py		Plotting.py
README.md		README.md
Recursive_Feature_Selct.py		Recursive_Feature_Selct.py
Regression - ML.py		Regression - ML.py
Regression-SL.py		Regression-SL.py
Ridge_Reg.py		Ridge_Reg.py
SVC 2.py		SVC 2.py
SVM.py		SVM.py
Scatter Plot.py		Scatter Plot.py
Select_Transforms_FS.py		Select_Transforms_FS.py
agedata.csv		agedata.csv
citytemp.csv		citytemp.csv

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