Technology & Programming
intermediate
Machine Learning Fundamentals
A comprehensive course covering Machine learning fundamentals. Topics include supervised learning, regression, classification, decision trees, random forests, model evaluation, cross-validation, and scikit-learn. Designed for intermediate level learners.
14 hours
4 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
3 lessons
Supervised Learning
35 min
Regression
33 min
Applying Supervised Learning
28 min
Understanding Classification
3 lessons
Classification
23 min
Decision Trees
31 min
Applying Classification
34 min
Working with Model Evaluation
3 lessons
Random Forests
35 min
Model Evaluation
34 min
Applying Random Forests
24 min
Advanced Cross-validation
3 lessons
Cross-validation
31 min
Scikit-learn
25 min
Applying Cross-validation
31 min