Learn core concepts of Machine Learning. Apply ML techniques to real-world problems and develop AI/ML based applications

What you'll learn

Learn the A-Z of Machine Learning from scratch
Build your career in Machine Learning, Deep Learning, and Data Science
Become a top Machine Learning engineer
Core concepts of various Machine Learning methods
Mathematical concepts and algorithms used in Machine Learning techniques
Solve real world problems using Machine Learning
Develop new applications based on Machine Learning
Apply machine learning techniques on real world problem or to develop AI based application
Analyze and implement Regression techniques
Linear Algebra basics
A-Z of Python Programming and its application in Machine Learning
Python programs, Matplotlib, NumPy, basic GUI application
File system, Random module, Pandas
Build Age Calculator app using Python
Machine Learning basics
Types of Machine Learning and their application in real-life scenarios
Supervised Learning - Classification and Regression
Multiple Regression
KNN algorithm, Decision Tree algorithms
Unsupervised Learning concepts & algorithms
AHC algorithm
K-means clustering & DBSCAN algorithm and program
Solve and implement solutions of Classification problem
Understand and implement Unsupervised Learning algorithms