Udemy – Machine Learning for Quant Finance and Algorithmic Trading 2024-12

Udemy – Machine Learning for Quant Finance and Algorithmic Trading 2024-12 Downloadly IRSpace

Udemy – Machine Learning for Quant Finance and Algorithmic Trading 2024-12
Udemy – Machine Learning for Quant Finance and Algorithmic Trading 2024-12

Machine Learning for Quant Finance and Algorithmic Trading is a course on Machine Learning Techniques in Quantitative Finance and Algorithmic Trading published by Udemy Online Academy. It is a specialized course designed to equip individuals with the practical knowledge and tools needed to apply machine learning techniques to quantitative finance and algorithmic trading. The course covers the intersection of data science, finance, and trading, guiding students through the development of intelligent trading strategies using predictive models, statistical analysis, and backtesting frameworks. It is ideal for aspiring quants, data scientists, and finance professionals looking to enhance their algorithmic trading skills with machine learning capabilities.

This comprehensive course is designed for those who want to use machine learning techniques in finance. Covering essential topics such as Pandas, NumPy, Matplotlib, and Seaborn, participants will gain a solid foundation in data manipulation and visualization, which is crucial for analyzing financial datasets. Whether you are a financial professional or a data enthusiast, this course will allow you to harness the power of machine learning in quantitative finance and algorithmic trading, preparing you for real-world challenges in financial markets.

What you will learn in Machine Learning for Quant Finance and Algorithmic Trading:

  • Learn about the complete lifecycle of a machine learning project from data processing to building ML models to deployment in web applications built using Streamlit
  • You will learn about complex financial market concepts like derivatives, asset pricing models, technical analysis, etc. in simple language without any jargon
  • This course covers the fundamentals of machine learning and deep learning that will help you excel in your quantitative analysis of financial data
  • Learn to build your own trading strategies using machine learning and backtest them using Python
  • You will learn how to quickly build your own web applications and dashboards for your quant analytics using Streamlit
  • And…

Course specifications

Publisher: Udemy
Instructors: Raj Chhabria
Language: English
Level: Introductory to Advanced
Number of Lessons: 98
Duration: 11 hours and 14 minutes

Course topics

Machine Learning for Quant Finance and Algorithmic Trading Conytent

Machine Learning for Quant Finance and Algorithmic Trading Prerequisites

Basic understanding of Python Programming Language. Prior knowledge Financial Markets is not necessary.

Pictures

Machine Learning for Quant Finance and Algorithmic Trading

Machine Learning for Quant Finance and Algorithmic Trading introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 1 GB

Download Part 5 – 149 MB

Size

4.1 GB