AI for Finance: Predict patterns in financial data using Machine Learning

Jakub Konczyk

$137.99

Video Feb 2019 2hrs 19mins 1st Edition

Jakub Konczyk

$137.99

Video Feb 2019 2hrs 19mins 1st Edition

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Key benefits

Learn the key Machine Learning (ML) techniques commonly used for Financial forecasting: from a simple Machine Learning model to using more complex ones
Explore tools such as pandas, Scikit-Learn, Keras, and Tensorflow for applications in Finance
Get Hands-on training to prepare financial data for analysis and use it to make future value predictions

Description

A lot of solutions to key problems in the financial world require predicting the future patterns in data from the past to make better financial decisions right now. The evolution of modern machine learning methods and tools in recent years in the field of computer vision bring promise of the same progress in other important fields such as financial forecasting. In this course, you’ll first learn how to quickly get started with ML in finances by predicting the future currency exchange rates using a simple modern machine learning method. In this example, you’ll learn how to choose the basic data preparation method and model and then how to improve them. In the next module, you’ll discover a variety of ways to prepare data and then see how they influence models training accuracy. In the last module, you’ll learn how to find and test a few key modern machine learning models to pick up the best performing one. After finishing this course, you’ll have a solid introduction to apply ML methods to financial data forecasting. The code bundle for this video course is available at - https://github.com/PacktPublishing/AI-for-Finance

Who is this book for?

This course is for aspiring data scientists, ML practitioners, as well as Investment Analysts and Portfolio managers working in the finance and investment industry. Some basic knowledge related to Python is assumed. However, no knowledge about financial data analysis is assumed.

What you will learn

Get hands-on financial forecasting experience using machine learning with Python, Keras, Scikit-Learn and pandas
Use a variety of data preparation methods with financial data
Predict future values based on single and multiple values
Apply key modern Machine Learning methods for forecasting
Understand the process behind choosing the best performing data preparation method and model
Grasp Machine Learning forecasting on a specific real-world financial data

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