Machine Learning 2: Classification

This badge is earned by successfully completing the Machine Learning 2: Classification course at Maven Analytics. COURSE HOURS: 4.0 COURSE DESCRIPTION: This course is Part 2 of a 4-Part series designed to help you build a fundamental understanding of machine learning, including data profiling, classification, regression & forecasting, and unsupervised learning. In this course we’ll introduce the supervised learning landscape, review the classification workflow, and address key topics like dependent vs. independent variables, feature engineering, data splitting and overfitting. From there we'll review common classification models including K-Nearest Neighbors (KNN), Naïve Bayes, Decision Trees, Random Forests, Logistic Regression and Sentiment Analysis, and share tips for model scoring, selection, and optimization. Throughout the course we’ll introduce case studies to solidify key concepts and tie them back to real world scenarios. You’ll help build a recommendation engine for Spotify, analyze customer purchase behavior for a retail shop, predict subscriptions for a travel company, extract sentiment from customer reviews, and much more. If you’re ready to build the foundation for a successful career in data science, this is the course for you.