About the Machine Learning with Python: Zero to GBMs category

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 and its ecosystem of ML libraries: scikit-learn, XGBoost, and LightGBM.

Video lectures will be live-streamed on our YouTube channel

:hourglass_flowing_sand: Course Duration: June 19 to July 24, 2021 (Six weeks)
:page_with_curl: Course Curriculum: https://jovian.ai/learn/machine-learning-with-python-zero-to-gbms

:point_right: Register Now @ http://zerotogbms.com

:play_or_pause_button: Watch live hands-on coding-focused video tutorials
:ledger: Practice coding with cloud Jupyter notebooks
:question: Solve questions from real programming interviews
:medal_sports: Earn a verified certificate of accomplishment

:man_teacher: Instructor: Aakash N S is the co-founder and CEO of Jovian. Previously, Aakash has worked as a software engineer (APIs & Data Platforms) at Twitter in Ireland & San Francisco and graduated from the Indian Institute of Technology, Bombay. He’s also an avid blogger, open-source contributor, and online educator.