Build projects supervised learning (multiple linear regression, logistic regression, and neural networks), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)
- Project 1: Linear Regression
- Project 2: Logistic Regression
- Project 3: Multi-class Classification and Neural Networks
- Project 4: Neural Networks Learning
- Project 5: Regularized Linear Regression and Bias v.s. Variance
- Project 6: Support Vector Machines
- Project 7: K-means Clustering and Principal Component Analysis
- Project 8: Anomaly Detection and Recommender Systems
- Project 9: Range Simulation of E Bikes