PythonML_is_fun

## This repo contains the Python code for a number of machine learniing algorithms such as Decision Trees and SVM.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
ml-100k		ml-100k
Apriori.ipynb		Apriori.ipynb
CNN_code2.ipynb		CNN_code2.ipynb
Check_OLS conditions.ipynb		Check_OLS conditions.ipynb
Implement_OLS.ipynb		Implement_OLS.ipynb
Lecture10_Apriori.ipynb		Lecture10_Apriori.ipynb
Lecture2_DecisionTreeRegression.ipynb		Lecture2_DecisionTreeRegression.ipynb
Lecture7_NaiveBayes.ipynb		Lecture7_NaiveBayes.ipynb
README.md		README.md
RandomForest.ipynb		RandomForest.ipynb
SVM_Linear.ipynb		SVM_Linear.ipynb
SVM_NonLinear.ipynb		SVM_NonLinear.ipynb
Section11_Lecture103.ipynb		Section11_Lecture103.ipynb
Section11_Lecture104.ipynb		Section11_Lecture104.ipynb
data.txt		data.txt
eclat.ipynb		eclat.ipynb
glassClass.csv		glassClass.csv
kNN_regression1.ipynb		kNN_regression1.ipynb
knn_classification.ipynb		knn_classification.ipynb
rnn_1.ipynb		rnn_1.ipynb
testT.csv		testT.csv
trainT.csv		trainT.csv