GitHub - Akif-Mufti/Machine-Learning-with-Python: I am following few books called: "Machine Learning Mastery With Python," by Jason Brownlee ; and "Machine Learning with Python" by Andreas C. Mueller and Sarah Guido.The Codes in this repository is related to what I Learn.

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I am following few books called: "Machine Learning Mastery With Python," by Jason Brownlee ; and "Machine Learning with Python" by Andreas C. Mueller and Sarah Guido.The Codes in this repository is related to what I Learn.

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Name		Name	Last commit message	Last commit date
Latest commit History 53 Commits
.gitconfig		.gitconfig
Bagging1.ipynb		Bagging1.ipynb
Binarixer.py		Binarixer.py
Boosting_Algos.ipynb		Boosting_Algos.ipynb
Clas_Reg1.py		Clas_Reg1.py
Clas_Reg2.py		Clas_Reg2.py
Clas_Reg3.py		Clas_Reg3.py
Clas_Reg4.py		Clas_Reg4.py
Comparison.ipynb		Comparison.ipynb
FS1.py		FS1.py
FS2.py		FS2.py
FS3.py		FS3.py
FS4.py		FS4.py
Lasso_regression.py		Lasso_regression.py
LearningML1.ipynb		LearningML1.ipynb
LearningML10RepeatedTainTest.ipynb		LearningML10RepeatedTainTest.ipynb
LearningML12Performance.ipynb		LearningML12Performance.ipynb
LearningML13Logistic_Regression.ipynb		LearningML13Logistic_Regression.ipynb
LearningML14LDA.ipynb		LearningML14LDA.ipynb
LearningML15KNN.ipynb		LearningML15KNN.ipynb
LearningML16NaiveB.ipynb		LearningML16NaiveB.ipynb
LearningML17CART.ipynb		LearningML17CART.ipynb
LearningML18SVM.ipynb		LearningML18SVM.ipynb
LearningML2.ipynb		LearningML2.ipynb
LearningML20NLML.ipynb		LearningML20NLML.ipynb
LearningML3.ipynb		LearningML3.ipynb
LearningML4UnivariateSelection.ipynb		LearningML4UnivariateSelection.ipynb
LearningML5RecursiveFeatureElim.ipynb		LearningML5RecursiveFeatureElim.ipynb
LearningML6PCA.ipynb		LearningML6PCA.ipynb
LearningML7FeatureImportance.ipynb		LearningML7FeatureImportance.ipynb
LearningML8KFoldCrossVal.ipynb		LearningML8KFoldCrossVal.ipynb
LearningML8Resampling.ipynb		LearningML8Resampling.ipynb
Lm_OLS.py		Lm_OLS.py
Lm_OLS1.py		Lm_OLS1.py
Lm_ridge1.py		Lm_ridge1.py
Normalize.py		Normalize.py
Pipeline.ipynb		Pipeline.ipynb
Pipeline2.ipynb		Pipeline2.ipynb
Preprocessing.py		Preprocessing.py
Preprossesing.py		Preprossesing.py
Prroject1.ipynb		Prroject1.ipynb
StandardizeData.py		StandardizeData.py
Tuning.ipynb		Tuning.ipynb
VotingEnsemble.ipynb		VotingEnsemble.ipynb
correlation.py		correlation.py
correlation1.py		correlation1.py
correlation2.py		correlation2.py
datapanda.py		datapanda.py
iris1.py		iris1.py
jblib.ipynb		jblib.ipynb
knnclass1.py		knnclass1.py
knnclass2.py		knnclass2.py
knnreg1.py		knnreg1.py
learningML19SCLRegression.ipynb		learningML19SCLRegression.ipynb
lmod_classfication.py		lmod_classfication.py
matplot1.py		matplot1.py
mmlp1.py		mmlp1.py
mmlp2.py		mmlp2.py
newcsv1.py		newcsv1.py
numpydata.py		numpydata.py
numpydataweb.py		numpydataweb.py
pandas1.py		pandas1.py
pickle.ipynb		pickle.ipynb
pima-indians-diabetes.data.csv		pima-indians-diabetes.data.csv
pima-indians-diabetes.data.csv..txt		pima-indians-diabetes.data.csv..txt
pima-indians-diabetes.data.txt		pima-indians-diabetes.data.txt
plot1.py		plot1.py
plot1BarChart.py		plot1BarChart.py
plot1Barhist.py		plot1Barhist.py
plot1Barhist2.py		plot1Barhist2.py
plot1LIneCHart1.py		plot1LIneCHart1.py
plot1Scatterplot1.py		plot1Scatterplot1.py
plots1.py		plots1.py
temp.ipynb		temp.ipynb