Machine-Learning-Algorithms-Materials

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
1-Simple Linear Regression.pdf		1-Simple Linear Regression.pdf
2-Ridge And Lasso Regression.pdf		2-Ridge And Lasso Regression.pdf
3-Logistic Regression.pdf		3-Logistic Regression.pdf
4-Naive Bayes.pdf		4-Naive Bayes.pdf
Decision Tree Practical Implementation.ipynb		Decision Tree Practical Implementation.ipynb
Decision Tree Preprunning Practical Implementation.ipynb		Decision Tree Preprunning Practical Implementation.ipynb
Deicsion Tree Regression And Cross Validation.ipynb		Deicsion Tree Regression And Cross Validation.ipynb
LICENSE		LICENSE
Linear Regression Practical Implementation-Hindi.ipynb		Linear Regression Practical Implementation-Hindi.ipynb
Logistic Regression Practical Implementation.ipynb		Logistic Regression Practical Implementation.ipynb
Postprunning and preprunning decision tree.pdf		Postprunning and preprunning decision tree.pdf
README.md		README.md
Randomforestregressionandclassification.pdf		Randomforestregressionandclassification.pdf
Ridge And Lasso Practical.ipynb		Ridge And Lasso Practical.ipynb
SVR Algorithms.pdf		SVR Algorithms.pdf
decision tree.pdf		decision tree.pdf
mse,mae,rmse.pdf		mse,mae,rmse.pdf
r2adjustedr2.pdf		r2adjustedr2.pdf
train,test and validation.pdf		train,test and validation.pdf
typesofcrossvalidation.pdf		typesofcrossvalidation.pdf

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