Machine Learning For Beginners
This course aims to provide a comprehensive introduction to Machine Learning, with a focus on understanding its fundamental concepts, methodologies, and applications. The course is designed for beginners who wish to gain foundational knowledge and skills in Machine Learning. By the end of this course, learners will be able to understand key machine learning concepts, set up a Python environment for data analysis, and build simple machine learning models. The capstone project allows learners to apply their knowledge in a practical context, consolidating their learning experience.
Introduction to Machine Learning
Key Terminology in Machine Learning
Mathematical Foundations
Data Preprocessing
Building Simple Machine Learning Models
Evaluating Model Performance
Introduction to Python for Machine Learning
Hands-On Mini Project
Introduction to Linear Algebra
Linear algebra is a foundational topic in machine learning that supports the mathematical operations within various algorithms.
Introduction to Linear Algebra: Systems of Linear Equations