Introductrion to Machine Learning

1. What is Machine Learning
2. Machine Learning Applications
3. Why do we need Machine Learning
4. Key Definitions (Terms) in Machine Learning
5. Types of Machine Learning
6. Machine Learning with Python
7. Python Libraries and Tools
   • 7.1 Jupyter Notebooks
   • 7.2 Scikit-Learn Python library
   • 7.3 NumPy Python library
   • 7.4 SciPy Python library
   • 7.5 Pandas Python library
   • 7.6 Matplotlib Python Librarry
   • 7.7 Python Libraries for Deep Neural Networks
8. Summary
9. Example code to label data based on distance

My First Machine Learning Project

• First ML Project - Part 1 (Data Exploration)

• First ML Project - Part 2 (Build ML Model)