What you'll learn
Supervised vs Unsupervised Learning
Linear and Logistic Regression
Decision Trees and Random Forests
Introduction to Neural Networks
Evaluating and Tuning ML Models
Course Description
Understand the "why" and "how" behind machine learning. This course covers supervised and unsupervised learning, regression, classification, and neural networks with a focus on practical applications.
Course Content
1 sections • 82 lectures • 12 Weeks total length
Module 1: ML Fundamentals
2 lessons
The ML Lifecycle
20 min
Data Preprocessing Techniques
30 min
Instructor
Vikram Singh
AI & ML Lead | PhD in Computer Science
4.8 Instructor Rating
50,000+ Students
12 Courses
Industry expert with over 10 years of experience in the field. Passionate about teaching and helping students achieve their career goals through practical, hands-on learning.