Learn Machine Learning By Building Projects

Description

Using 10 different projects, the course focuses on breaking down the important concepts, algorithms, and functions of Machine Learning. The course starts at the very beginning with the building blocks of Machine Learning and then progresses onto more complicated concepts. Each project adds to the complexity of the concepts covered in the project before it.

• Project 1 — Stock Market Clustering Project
• Project 2 — Breast Cancer Detection
• Project 3 — Board Game Review
• Project 4 — Credit Card Fraud Detection
• Project 5 — Diabetes Onset Detection
• Project 6 — Markov Models and K-Nearest Neighbor Approaches to Classifying DNA Sequences
• Project 7 — Getting Started with Natural Language Processing In Python
• Project 8 — Obtaining Near State-of-the-Art Performance on Object Recognition Tasks Using Deep Learning
• Project 9 — Image Super Resolution with the SRCNN
• Project 10 — Natural Language Processing: Text Classification
• Project 11 — K-Means Clustering For Image Analysis
• Project 12 — Data Compression & Visualization Using Principle Component Analysis