machine-learning-with-IBM-Cognitive-Class.ai

Includes everything I will learn throughout the course.

Transcripts, notebooks and datasets will be included.

COURSE SYLLABUS

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 :

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Transcripts		Transcripts
classification		classification
clustering		clustering
recommender system/Content Based Recommender System		recommender system/Content Based Recommender System
regression		regression
score and certificate		score and certificate
README.md		README.md