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This repository helps you to understand machine learning algorithms clearly. This includes basic regression models, KNN, K- means, Naive Bayes classifier, Decision Tree, Random Forest and Clustering Algorithms

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ML-Algorithms

This repository helps you to understand machine learning algorithms clearly. You can explore following algorithms from here.

1. Simple Linear Regression
2. Multi Linear Regression
3. Logistic Regression
4. Decision Tree
5. Random Forest
6. K Nearest Neighbour
7. K Means Clustering
8. Naive Bayes Classifier

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This repository helps you to understand machine learning algorithms clearly. This includes basic regression models, KNN, K- means, Naive Bayes classifier, Decision Tree, Random Forest and Clustering Algorithms

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machine-learning random-forest linear-regression machine-learning-algorithms naive-bayes-classifier logistic-regression decision-trees knn naive-bayes-algorithm decision-tree machine-learning-coursera decision-tree-classifier kmeans-clustering knn-classification knn-algorithm

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