Ementorhub

Skills you'll gain

Machine Learning Algorithms

Classification And Regression Tree (CART)

Applied Machine Learning

Anomaly Detection

Machine Learning

Feature Engineering

Supervised Learning

Statistical Machine Learning

Decision Tree Learning

Unsupervised Learning

Data Ethics

Regression Analysis

Data Processing

Scikit Learn (Machine Learning Library)

Predictive Analytics

There are 9 modules in this course

To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover each week, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course!

Module 1: Introduction to Machine Learning

Module 2: Fundamental Algorithms

Module 3: Practical Concepts in Machine Learning

Module 4: Overfitting & Regularization

Module 5: Fundamental Probabilistic Algorithms

Module 6: Feature Engineering

Module 7: Introduction to Clustering

Module 8: Introduction to Anomaly Detection