Machine Learning For Algorithmic Trading - Regression Based
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22 Lectures
3h 41m 28s
Prepare for your Microsoft examination with our training course. The No_code course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Microsoft certification exam. Pass the Microsoft No_code test with flying colors.
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Curriculum For This Course
- 1. Introduction 5m 20s
- 2. How to Succeed in This Course 3m 47s
- 1. Introduction and Classification of Machine Learning 10m 31s
- 2. Introduction to Machine Learning development Work Flow using Linear Regression 9m 39s
- 3. Characteristic of Financial Time Series and Linear Regression Assumptions 10m 27s
- 4. Effects of Outliers on Machine Learning Model 5m 20s
- 5. Model Selection and Quant Workflow 8m 25s
- 1. Pairs Trading and Machine Learning 6m 38s
- 2. Understanding the Data (Data Exploration) 14m 10s
- 3. Python statsmodel Library 9m 7s
- 4. Python scikit-learn Library 6m 46s
- 5. Cointegration Test 3m 56s
- 6. Trading Logic 13m 9s
- 1. Pairs Trading Code Walk Through 17m 10s
- 2. Backtest and Performance Analysis 15m 20s
- 1. Rationale for Penalized Regression 3m 1s
- 2. Application of Penalized Regression to Investing 11m 45s
- 1. Kalman Filter Introduction 14m 24s
- 2. Backtesting Kalman Filter Based Investing Strategy 13m 22s
- 1. Introduction to Multi-Assets Trend Following Strategies 10m 49s
- 2. Machine Learning and Multi-Assets Trend Following Strategies 14m 36s
- 3. Backtesting Multi-Assets Trend Following Machine Learning Strategies 13m 46s
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