Walkthrough into the Machine Learning's principles and implementation of the main algorithms from scratch.

Activation Functions Brief overview about some of the main activation functions applicable to Neural Networks and Deep Learning system. view notebook

Perceptron Overview and implementation of the most fundamental Neural Network model. view notebook

Binomial Distribution Brief overview about Discrete probability and binomial distribution. view notebook

Clustering [DBSCAN] Overview and implementation of clustering algorithm using the DBSCAN technique. view notebook

Clustering [k-means] Overview and implementation of clustering algorithm using the k-means technique. view notebook

k-NN Classification Overview and implementation of k-Nearest Neighbor Classification. view notebook

k-NN Regression Overview and implementation of k-Nearest Neighbor regression. view notebook

Linear Regression Overview and implementation of Linear Regression analysis. view notebook

Logistic Regression Overview and implementation of Logistic Regression analysis. view notebook