Certification training
22Lectures
3h 41m 28sDuration
Vendor
Machine Learning For Algorithmic Trading - Regression Based
Prepare for your exam with a structured video course built for focused study, topic review, and repeatable progress before exam day.
Best seller
certification training
22 lessons arranged in a guided course path
Course overview
Study with a clear path.
Move through focused sections, review lecture timing, and return directly to the objectives that need more work.
Sequenced lessons
Follow the course in order or jump directly to the section you need to revisit.
Video-first prep
Use concise lecture blocks for technical review before moving into exam practice.
Fast access
Your purchased course becomes available in the member area after confirmed payment.
Curriculum
Course sections.
7 sections, 22 lessons, and lecture-level duration details.
01
Introduction
5m 20s
02
How to Succeed in This Course
3m 47s
01
Introduction and Classification of Machine Learning
10m 31s
02
Introduction to Machine Learning development Work Flow using Linear Regression
9m 39s
03
Characteristic of Financial Time Series and Linear Regression Assumptions
10m 27s
04
Effects of Outliers on Machine Learning Model
5m 20s
05
Model Selection and Quant Workflow
8m 25s
01
Pairs Trading and Machine Learning
6m 38s
02
Understanding the Data (Data Exploration)
14m 10s
03
Python statsmodel Library
9m 7s
04
Python scikit-learn Library
6m 46s
05
Cointegration Test
3m 56s
06
Trading Logic
13m 9s
01
Pairs Trading Code Walk Through
17m 10s
02
Backtest and Performance Analysis
15m 20s
01
Rationale for Penalized Regression
3m 1s
02
Application of Penalized Regression to Investing
11m 45s
01
Kalman Filter Introduction
14m 24s
02
Backtesting Kalman Filter Based Investing Strategy
13m 22s
01
Introduction to Multi-Assets Trend Following Strategies
10m 49s
02
Machine Learning and Multi-Assets Trend Following Strategies
14m 36s
03
Backtesting Multi-Assets Trend Following Machine Learning Strategies
13m 46s