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Machine Learning for Finance
Machine Learning for Finance

Machine Learning for Finance: Explore Machine Learning algorithms to finance problems

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Profile Icon Aryan Singh
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$19.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Apr 2020 4hrs 30mins 1st Edition
Video
$137.99
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Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Aryan Singh
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Apr 2020 4hrs 30mins 1st Edition
Video
$137.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$137.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Sets a foundation of what to follow by teaching visualization and exploratory analysis of financial data, the typical features like RSI and moving average.
  • Predict stock prices by using Machine Learning models like Linear Regression, Random Forest, XGBoost and neural networks.
  • Use modern portfolio theory, Sharpe ratio, investment simulation, and machine learning to create a rewarding portfolio of stock investments.

Description

Machine Learning for Finance is a perfect course for financial professionals entering the fintech domain. It shows how to solve some of the most common and pressing issues facing institutions in the financial industry, from retail banks to hedge funds. This video course focuses on Machine Learning and covers a range of analysis tools, such as NumPy, Matplotlib, and Pandas. It is packed full of hands-on code simulating many of the problems and providing working solutions. This course aims to build your confidence and the experience to go ahead and tackle real-life problems in financial analysis. The industry is adopting automatic, data-driven algorithms at a rapid pace, and Machine Learning for Finance gives you the skills you need to be at the forefront. By the end of this course, you will be equipped with all the tools from the world of Finance, machine learning and deep learning essential for tackling all these pressing issues in the area of Fintech. The code files to this videos is also available on This GitHub repo: https://github.com/PacktPublishing/Machine-Learning-for-Finance-video

Who is this book for?

This course is for financial professionals entering the field who already possess some Python skills and wish to become proficient in machine learning. Requirements: Basic knowledge of Python, finance, and machine learning

What you will learn

  • How to tackle problems in Fintech and financial investments
  • Learn feature engineering, EDA and understanding with regards to financial data
  • Build an ANN-based model for predicting the stock prices
  • Enhance your Machine Learning skills with ensemble models like random forest and XGBoost.
  • Enhance your understanding of Neural Networks to build regression-based models.
  • Learn how to identify fraudulent transactions by building a fraud detection model by using classification models.
  • Achieve efficient frontier by using features like Sharpe ratios and risk management.

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 23, 2020
Length: 4hrs 30mins
Edition : 1st
Language : English
ISBN-13 : 9781789535143
Category :
Languages :

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Product Details

Publication date : Apr 23, 2020
Length: 4hrs 30mins
Edition : 1st
Language : English
ISBN-13 : 9781789535143
Category :
Languages :

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Table of Contents

7 Chapters
Financial Data Understanding, EDA, and Feature Engineering Chevron down icon Chevron up icon
Predicting the FOREX Currencies by Building a Linear Model Chevron down icon Chevron up icon
Tree-Based Machine Learning Techniques for Stock Prediction Chevron down icon Chevron up icon
Artificial Neural Networks Basics and Intuition Chevron down icon Chevron up icon
Stock Price Prediction by Using Artificial Neural Networks Chevron down icon Chevron up icon
Modern Portfolio Theory and Techniques for Portfolio Management Chevron down icon Chevron up icon
Predicting Fraud in Financial Transactions by Using ANN classification Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(1 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Collins Bakia Aug 11, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Content easy tu understand and good examples.
Feefo Verified review Feefo
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