"Machine Learning with Python: Zero to GBMs" is a practical and beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python. This is a self-paced course where you can: 

- Watch hands-on coding-focused video tutorials
- Practice coding with cloud Jupyter notebooks
- Build an end-to-end real-world course project
- Earn a verified certificate of accomplishment
- Interact with a global community of learners

You will solve 2 coding assignments & build a course project where you'll train ML models using a large real-world dataset. Prerequisite: [Data Analysis with Python: Zero to Pandas](https://jovian.ai/learn/data-analysis-with-python-zero-to-pandas).

machine-learning-with-python-zero-to-gbms

A beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python and Scikit-learn. Earn a verified certificate of accomplishment by completing assignments & building a real-world project.

Machine Learning with Python: Zero to GBMs

Just a big applause for Aakash N S for his perfect introduction to Deep Learning, I am hooked! Well done!

The content is brilliant!