Machine Learning for Beginner (AI) – Data Science

Overview

Learn Machine Learning from scratch. Mathematical & Graphical explanation, Python projects and ebooks What you'll learn: Fundamental of Machine Learning; Introduction, types of machine learning, applicationsSupervised, Unsupervised and Reinforcement learningPrincipal Component Analysis (PCA); Introduction, mathematical and graphical conceptsConfusion matrix, Under-fitting and Over-fitting, classification and regression of machine modelSupport Vector Machine (SVM) Classifier; Introduction, linear and non-linear SVM model, optimal hyperplane, kernel trick, project in PythonK-Nearest Neighbors (KNN) Classifier; Introduction, k-value, Euclidean and Manhattan distances, outliers, project in PythonNaive Bayes...