Course Overview
16m | 2 Videos | 60059 Views | 
Intermediate Trading using Machine Learning:
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.
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This training is an introduction to the concept of trading with the help of machine learning using Python.
The training will include the following;
- Understanding and plotting Stock data
- Exploratory Data Analysis
- Statistical Analysis of time series
- Data visualization
- Portfolio statistics
- Parameterized modelling
- Portfolio Optimization
- Hedge fund manager
- Understanding market mechanics
- The capital assets pricing model
- Market Hypothesis
- Active portfolio management
- Machine learning at hedge fund
- Regression
- Assessing the learning model
- Ensemble techniques
- Reinforcement learning
- Q learning
Target Customers:
- Anyone who wants to learn about data and analytics
- Data Engineers
- Analysts
- Architects
- Software Engineers
- IT operations
- Technical managers
Pre-Requisites:
- Prior knowledge of machine learning required
- Basic knowledge of Python programming and statistics
