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Machine Learning in Finance
Apply ML algorithms to trading, risk, and asset management.
Module 0: The Absolute Basics of Machine Learning
6
Lessons
2h 0m
The Language of ML: Data, Features & Labels
Not Started
20 min
The Three Flavors of Learning (Supervised, Unsupervised, Reinforcement)
Not Started
25 min
Your First Models: An Intuitive Look (KNN & Simple Linear Regression)
Not Started
30 min
The Golden Rule: How to Split Your Data (Train, Validate, Test)
Not Started
25 min
How Do We Score a Model? (Accuracy, Confusion Matrix, MSE)
Not Started
20 min
Mental Math for Interviews
Not Started
5 min
Module 1: Foundations of ML in Finance
4
Lessons
1h 50m
Module 2: Time-Series Forecasting for Trading
4
Lessons
2h 10m
Module 3: Machine Learning for Risk Management
4
Lessons
2h 5m
Module 4: NLP for Alpha Generation
4
Lessons
1h 55m
Module 5: Advanced Topics & Modern Frontiers
4
Lessons
2h 20m