Learn core concepts of Machine Learning. Apply ML techniques to real-world problems and develop AI/ML based applications
- 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
How to Enroll Machine Learning Concepts and Application of ML using Python course?
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