Udemy

Machine Learning for Finance

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  • 466 Students
  • Updated 4/2020
  • Certificate Available
4.1
(60 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 30 Minute(s)
Language
English
Taught by
Packt Publishing
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.1
(60 Ratings)
2 views

Course Overview

Machine Learning for Finance

Machine Learning techniques for solving major financial issues

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.

About the Author

Aryan Singh is a data scientist with a penchant for solving business problems across different domains by using machine learning and deep learning. He is an avid reader and has a keen interest in NLP research. He loves to participate and organize hackathons and has won a number of them. Currently, he works as a data scientist at Publicis Sapient.

Course Content

  • 7 section(s)
  • 49 lecture(s)
  • Section 1 Financial Data Understanding, EDA, and Feature Engineering
  • Section 2 Predicting the FOREX Currencies by Building a Linear Model
  • Section 3 Tree-Based Machine Learning Techniques for Stock Prediction
  • Section 4 Artificial Neural Networks Basics and Intuition
  • Section 5 Stock Price Prediction by Using Artificial Neural Networks
  • Section 6 Modern Portfolio Theory and Techniques for Portfolio Management
  • Section 7 Predicting Fraud in Financial Transactions by Using ANN classification

What You’ll 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.


Reviews

  • D
    Daniel
    5.0

    good

  • C
    Carlos e Aguilar
    5.0

    Very Good

  • M
    Maxwell Bradley
    5.0

    Great course!

  • A
    Abhishek Biswas
    1.0

    Absolute disaster - it's boring - tutor is missing out many concepts - he is in a hurry to complete - no critical thinking whatsoever

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