Machine Learning For Algorithmic Trading - Regression Based certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.

Are you looking for the course that explains the implementation of machine learning techniques, linear regression, and other approaches? Do you need the tutorial that allows you to save your money and time? So, look no further. This video guide provides relevant information and don’t take much time or money.

First of all, general information about machine learning is provided for you. Linear regression is highlighted here to make it easier for learners to grasp the related information. Financial time series and assumptions of linear regression are explained in this part. The course covers Pairs Trading, trading logic, Python statsmodel library and Python scikit-learn library. Special attention is paid to backtesting. 2 lectures are about Penalized Regression for Investing. Then, you will learn Kalman filtering and multi-assets trend following strategies. Most of all lectures (6 ones) are dedicated to the Machine Learning and Pairs Trading topic.

Thus, after the course, you will:

• Understand linear regression and different categories of machine learning
• Use machine learning techniques
• Follow professional Quant work flow and build investment strategies
• Validate machine learning model

Only 22 lectures, 7 topics, and you will develop your skills greatly! The reason is that learning with the course is easy and effective. It contains only important details and presents them concisely.

The course is available. It will be more productive if you have the interest in finance, hedge fund, algorithmic trading and understanding of Python data science. Thus, it’s your chance to obtain valuable and advanced knowledge without much trouble.

Prepaway's Machine Learning For Algorithmic Trading - Regression Based video training course for passing certification exams is the only solution which you need.