├── Adaboost .pdf ├── EDA Notes Part 1.pdf ├── EDA Notes Part 2.pdf ├── Gradient Boost Algorithm.pdf ├── Introduction to machine learning Day 1.pdf ├── ML Day 11 Clustering K-means.md ├── ML Day 12_Hierarchical Clustering , DBScan.md ├── ML Day13 K-Nearest Neighbors.md ├── ML Day14 Naive Bayes Classifier.md ├── Machine Learning Day 2 Notes.pdf ├── Machine Learning Day 3 Notes.pdf ├── Machine Learning Day 4 Notes.pdf ├── Machine Learning Day 5 Notes - SVM.pdf ├── Machine Learning Day 6 Notes.pdf ├── Machine Learning Day 7-Decission Tree.pdf └── Machine Learning Day 8-Decision Tree2.pdf /Adaboost .pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/Adaboost .pdf -------------------------------------------------------------------------------- /EDA Notes Part 1.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/EDA Notes Part 1.pdf -------------------------------------------------------------------------------- /EDA Notes Part 2.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/EDA Notes Part 2.pdf -------------------------------------------------------------------------------- /Gradient Boost Algorithm.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/Gradient Boost Algorithm.pdf -------------------------------------------------------------------------------- /Introduction to machine learning Day 1.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/Introduction to machine learning Day 1.pdf -------------------------------------------------------------------------------- /ML Day 11 Clustering K-means.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/ML Day 11 Clustering K-means.md -------------------------------------------------------------------------------- /ML Day 12_Hierarchical Clustering , DBScan.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/ML Day 12_Hierarchical Clustering , DBScan.md -------------------------------------------------------------------------------- /ML Day13 K-Nearest Neighbors.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/ML Day13 K-Nearest Neighbors.md -------------------------------------------------------------------------------- /ML Day14 Naive Bayes Classifier.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/ML Day14 Naive Bayes Classifier.md -------------------------------------------------------------------------------- /Machine Learning Day 2 Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/Machine Learning Day 2 Notes.pdf -------------------------------------------------------------------------------- /Machine Learning Day 3 Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/Machine Learning Day 3 Notes.pdf -------------------------------------------------------------------------------- /Machine Learning Day 4 Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sahiljosan/Machine-Learning-Notes/HEAD/Machine Learning Day 4 Notes.pdf -------------------------------------------------------------------------------- /Machine Learning Day 5 Notes - 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