Machine Learning Course By IBM on Cognitive Class.ai

https://cognitiveclass.ai/courses/machine-learning-with-python

COURSE SYLLABUS

Module 1 - Introduction to Machine Learning

1. Applications of Machine Learning
2. Supervised vs Unsupervised Learning
3. Python libraries suitable for Machine Learning

Module 2 - Regression

1. Linear Regression
2. Non-linear Regression
3. Model evaluation methods

Module 3 - Classification

1. K-Nearest Neighbour
2. Decision Trees
3. Logistic Regression
4. Support Vector Machines
5. Model Evaluation

Module 4 - Unsupervised Learning

1. K-Means Clustering
2. Hierarchical Clustering
3. Density-Based Clustering

Module 5 - Recommender Systems

1. Content-based recommender systems
2. Collaborative Filtering

PREREQUISITES FOR THIS COURSE

1. Python for data science

Note: Please do not copy paste the answers to pass. Practice on your own if you find yourself stuck here in the exercises, rewatch the lectures