This first session is designed for individuals who have a basic understanding of Python programming and want to delve deeper into machine learning algorithms and techniques using Python. Throughout the course, participants will learn various aspects of machine learning, including supervised learning, unsupervised learning, and various evaluation techniques.
Session 1
1. Introduction to Machine Learning
- Overview of machine learning concepts
- Types of machine learning algorithms
- Introduction to Python libraries for machine learning
2. Supervised Learning
- Explanation of supervised learning
- Types of Supervised Machine Learning
- Overview of regression algorithms (linear regression, multiple linear regression)
- Overview of classification algorithms (logistic regression, decision trees, random forests)
- Demonstration of implementing supervised learning algorithms in Python
3. Hands-on Exercises
- Participants work on coding exercises and small projects to implement and experiment with supervised learning algorithms introduced in the session
Instructor
Muniba Talha is a data scientist, educator and Python enthusiast.
The webinar will not be recorded. Language and materials are in English.
Session 2 - Monday, October 21, 17-20 - online