GitHub - manishavyas/Machine-Learning-Algorithms: Implementation code for machine learning algorithms such as Logistic Regression, K-Nearest Neighbors, Decision Tress, Random Forest, Gradient Ascent, Cross Sectional Estimator and Principal Component Analysis completed as part of IMT 574 assignments at University of Washington.

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Implementation code for machine learning algorithms such as Logistic Regression, K-Nearest Neighbors, Decision Tress, Random Forest, Gradient Ascent, Cross Sectional Estimator and Principal Component Analysis completed as part of IMT 574 assignments at University of Washington.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
1. KNN and Logistic Regression		1. KNN and Logistic Regression
2. Decision Tree and Random Forest		2. Decision Tree and Random Forest
3. Gradient Ascent		3. Gradient Ascent
4. Cross Sectional Estimator		4. Cross Sectional Estimator
5. Principle Componenet Analysis (PCA)		5. Principle Componenet Analysis (PCA)
.gitignore		.gitignore