Machine Learning Essentials – Master core ML concepts

Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects!

Created by: Mohit Uniyal
Data Scientist & Coding Minutes Instructor

Created by: Prateek Narang Sr. Software Engineer Google
Instructor & Entrepreneur

What Will I Learn?

• Jumpstart the world of AI & ML
• Maths of Machine Learning
• Regression & Classification Techniques
• Linear & Logistic Regression
• K-Nearest Neighbours, K-Means
• Naive Bayes, Text Classification
• Decision Trees & Random Forests
• Ensemble Learning - Bagging & Boosting
• Dimensionality Reduction
• Neural Networks
• 8+ Hands on Projects

Requirements

• Python Programming
• Basics of Numpy, Pandas, Matplotlib

Target audience

• Programmers who are curious to about Machine Learning and Artificial Intellgence
• Working professionals who want to build a career in data science
• Developers who wants to learn a new skill and build ML based projects
• University and college students who want to strengthen their understanding of Machine Learning