Total Training – Machine Learning – Quant Trading

In Stock

Original price was: $35.00.Current price is: $10.00.

Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This Quant Trading Using Machine Learning course will introduce you to machine learning,

Purchase this course you will earn 10 Points worth of $1.00!
Quantity

Unlock Expert Knowledge: Discover the Premium Total Training – Machine Learning – Quant Trading Course Exclusively at GBESY. Elevate your skills and achieve career success by learning from world-renowned instructors and industry experts through our extensive library of premium self-paced courses.

Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This Quant Trading Using Machine Learning course will introduce you to machine learning,

Total Training – Machine Learning – Quant Trading course with special price just for you$35  $12

DOWNLOAD INSTANTLY
PLEASE CHECK ALL CONTENTS OF THE COURSE BELOW!

 

Total Training - Machine Learning - Quant TradingTotal Training – Machine Learning – Quant Trading


Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This Quant Trading Using Machine Learning course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you’ll discover how to build sophisticated financial models that will better inform your investing decisions. Ideally, this one will buy itself back and then some!

What am I going to get from this course?

Develop Quant Trading models using advanced Machine Learning techniques
Compare and evaluate strategies using Sharpe Ratios
Use techniques like Random Forests and K-Nearest Neighbors to develop Quant Trading models
Use Gradient Boosted trees and tune them for high performance
Use techniques like Feature engineering, parameter tuning and avoiding overfitting
Build an end-to-end application from data collection and preparation to model selection

Course Requirements:

Working knowledge of Python is necessary if you want to run the source code that is provided.
Basic knowledge of machine learning, especially Machine Learning classification techniques, would be helpful but it’s not mandatory.

What is the target audience?

Get Total Training – Machine Learning – Quant Trading download

Quant traders who have not used Machine learning techniques before to develop trading strategies
Analytics professionals, modelers, big data professionals who want to get hands-on experience with Machine Learning
Anyone who is interested in Machine Learning and wants to learn through a practical, project-based approach

Machine Learning|Quant Trading|Total Training|Total Training – Machine Learning – Quant Trading

Unlock Expert Knowledge with the Total Training – Machine Learning – Quant Trading Course on GBESY.

Access over 70,000 premium learning programs curated by leading experts and renowned authors at GBESY. Our Total Training – Machine Learning – Quant Trading course provides actionable knowledge and real-world skills through:

  • Expert Authors: Learn from renowned figures like John Overdurf, Conor Harris, Samir Kahlot, and more.
  • Flexible Learning: Enjoy self-paced study for ultimate convenience.
  • Comprehensive Resources: Benefit from detailed manuals and step-by-step guidance.
  • Lifetime Access: Get ongoing learning with free updates.
  • Secure Purchase: Your transactions are protected with 256-bit AES encryption and verified payment gateways (PayPal, Stripe).
  • Instant Download: Access your Total Training – Machine Learning – Quant Trading course immediately after payment from your account dashboard or via email. Learn on any device.
0/5 (0 Reviews)
0/5 (0 Reviews)

Reviews

There are no reviews yet.

Be the first to review “Total Training – Machine Learning – Quant Trading”

Your email address will not be published. Required fields are marked *

Back to Top