Course Description

Introduction to machine learning concepts, algorithms, and practical applications using Python.

What You'll Learn

  • Supervised and unsupervised learning, Neural networks and deep learning, Data preprocessing and feature engineering, Model evaluation and validation, Real-world applications

Requirements

Python programming, Basic statistics and mathematics, Linear algebra fundamentals
42 Lessons
720 Minutes
0 Students
0.0 Rating
D
Dr. James Wilson
Data scientist and ML researcher with PhD in Computer Science and 15+ years of experience.
Machine learning requires strong mathematical foundation and programming skills.