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Trading with Machine Learning: Classification and SVM

3754 Learners
4.5 hours
Learn to use SVM on financial markets data and create your own prediction algorithm. The course covers classification algorithms, performance measures in machine learning, hyper-parameters and building of supervised classifiers.
Level
Intermediate
Author
QuantInsti®
Price Lifetime Access Limited Time Offer

₹2300/-₹9199/-

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Get for ₹2070 with Course Bundle

  • Live Trading
  • Learning Track
  • Prerequisites
  • Syllabus
  • About author
  • Testimonials
  • Faqs

Live Trading

  • Explain the concept of Support Vectors
  • Explain what a hyperplane is
  • Use cross-validation to tune the hyper-parameters of a support vector machine
  • Code a trading strategy to predict the next day's trend using a Support Vector Classifier
  • Paper trade and analyze the strategies and apply in live markets without any installations or downloads
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Skills Covered

learning track 4

This course is a part of the Learning Track: Machine Learning & Deep Learning in Trading Beginners

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Machine Learning & Deep Learning in Trading Beginners

Course Fees

₹9199₹2300

Full Learning Track

These courses are specially curated to help you with end-to-end learning of the subject.

Need help? Write to us at quantra@quantinsti.com or call us at +91 8450963428.

Course Features

  • Community
    Community

    Faculty Support on Community

  • Interactive Coding Exercises
    Interactive Coding Exercises

    Interactive Coding Practice

  • Trade & Learn Together
    Trade & Learn Together

    Trade and Learn Together

  • Get Certified
    Get Certified

    Get Certified

Prerequisites


Prior experience in programming is required to fully understand the implementation of machine learning algorithm taught in the course. However, Python programming knowledge is optional. If you want to be able to code and implement the machine learning strategies in Python, then you should be able to work with 'Dataframes'. These skills are covered in the course 'Python for Trading'. Basic knowledge of machine learning algorithms and train and test datasets is a plus. These concepts are covered in our free course: Introduction to Machine Learning.

Syllabus

about author

QuantInsti®
QuantInsti®
QuantInsti is the world's leading algorithmic and quantitative trading research & training institute with registered users in 190+ countries and territories. An initiative by founders of iRage, one of India’s top HFT firms, QuantInsti has been helping its users grow in this domain through its learning & financial applications based ecosystem for 10+ years.
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Why quantra®?

  • More in Less Time
    More in Less Time

    Gain more in less time

  • Expert Faculty
    Expert Faculty

    Get taught by practitioners

  • Self-paced
    Self-paced

    Learn at your own pace

  • Data & Strategy Models
    Data & Strategy Models

    Get data & strategy models to practice on your own

Faqs

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