Includes everything I will learn throughout the course.
Transcripts, notebooks and datasets will be included.
- Module 1 - Introduction to Machine Learning Applications of Machine Learning Supervised vs Unsupervised Learning Python libraries suitable for Machine Learning
- Module 2 - Regression Linear Regression Non-linear Regression Model evaluation methods
- Module 3 - Classification K-Nearest Neighbour Decision Trees Logistic Regression Support Vector Machines Model Evaluation
- Module 4 - Unsupervised Learning K-Means Clustering Hierarchical Clustering Density-Based Clustering
- Module 5 - Recommender Systems Content-based recommender systems Collaborative Filtering
To know more about this course, visit :
https://cognitiveclass.ai/courses/machine-learning-with-python