Machine Learning Fundamentals

Course Overview

This course introduces you to the core concepts of machine learning from understanding data to building and evaluating your first models. Learn how to use Python and essential libraries to create predictive models and gain the skills to dive deeper into this rapidly growing field.

What you'll learn

Understand the principles of machine learning and its applications.

Preprocess and visualize datasets.

Build

train

and evaluate simple machine learning models.

Use Python libraries such as NumPy

pandas

and scikit-learn.

Understand the differences between supervised and unsupervised learning.

Course Content

Introduction to Machine Learning
Preparing and Understanding Data
Supervised Learning Basics
Unsupervised Learning Basics
Putting It All Together