A repo with tutorials for algorithms from scratch + explanation
00-linear_regression_from_scratch.ipynb: Linear regression
01-k-means_from_scratch.ipynb: KMeans clustering
02-knn_from_scratch.ipynb: K-Nearest Neighbours
03-decision_tree_from_scratch.ipynb: Decision Tree for Classification
04-logistic_regression_from_scratch.ipynb: Logistic Regression using gradient descent approach
05-Matrix_factorization_and_NN_PyTorch.ipynb: Matrix Factorization and training a Neural Network on Netflix data in PyTorch