ml-agorithms

Algorithm	Link
Supervised - Additive Models
Regression	Linear Regression
Regression	Polynomial Interpolation
Regression	Polynomial Regression
Regression	Regression Tree
Classification	Logistic Regression
Classification	Linear Discriminant Analysis
Classification	Decision Classification Tree
Supervised - Ensemble Models
Ensembled Learing	Random Forest
Ensembled Learing	XGBoost
Ensembled Learing	Gradient Boost
Unsupervised
Unsupervised Learning	PCA
Unsupervised Learning	SVD Technique
Unsupervised Learing	Clustering
Gaussian Mixture Model	Expectation Maximization[EM]

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
ML_notes		ML_notes
Clustering.ipynb		Clustering.ipynb
ExpectationMaximization(EM).ipynb		ExpectationMaximization(EM).ipynb
GradientBoostClassification.ipynb		GradientBoostClassification.ipynb
PCA.ipynb		PCA.ipynb
Polynomial_Regression.ipynb		Polynomial_Regression.ipynb
README.md		README.md
Regression_Tree.ipynb		Regression_Tree.ipynb
SVD_(singular_value_decomposition).ipynb		SVD_(singular_value_decomposition).ipynb
XGBoostRegression.ipynb		XGBoostRegression.ipynb
booststrap.ipynb		booststrap.ipynb
cubic_spline_interpolation.ipynb		cubic_spline_interpolation.ipynb
decision_trees.ipynb		decision_trees.ipynb
linear_discriminant_analysis.ipynb		linear_discriminant_analysis.ipynb
linear_regression.ipynb		linear_regression.ipynb
linear_regression_new.ipynb		linear_regression_new.ipynb
logistic_regression.ipynb		logistic_regression.ipynb
random_forest_regressor.ipynb		random_forest_regressor.ipynb

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