Data Science & AI
advanced
Machine Learning Fundamentals
A comprehensive course covering Machine learning. Topics include supervised learning, regression, classification, decision trees, random forests, SVM, model evaluation, cross-validation, and scikit-learn. Designed for advanced level learners.
14 hours
3 modules
12 lessons
0 enrolled
Dr
Dr. Priya Patel
Professor of Data Science & Artificial Intelligence
Free
Full access to all course materials
Course Content
Foundations of Supervised Learning
4 lessons
Supervised Learning
25 min
Regression
23 min
Classification
31 min
Applying Supervised Learning
24 min
Understanding Decision Trees
4 lessons
Decision Trees
26 min
Random Forests
34 min
SVM
27 min
Applying Decision Trees
30 min
Working with Model Evaluation
4 lessons
Model Evaluation
26 min
Cross-validation
28 min
Scikit-learn
24 min
Applying Model Evaluation
29 min