Extending Machine Learning Algorithms [Video]

Extending Machine Learning Algorithms [Video]

Pratap Dangeti

In-depth explanation of machine learning algorithms
Packt Subscription
$5.00
$9.99/m after first month
Video
$5.00
RRP $124.99
Save 95%
What do I get with a Packt subscription?
  • Exclusive monthly discount - no contract
  • Unlimited access to entire Packt library of 6500+ eBooks and Videos
  • 120 new titles added every month, on new and emerging tech
What do I get with an eBook?
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with Print & eBook?
  • Get a paperback copy of the book delivered to you
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with a Video?
  • Download this Video course in MP4 format
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
$5.00
$5.00
$9.99/m after first month
RRP $124.99
Subscription
Video
Subscribe Now

Frequently bought together


Extending Machine Learning Algorithms [Video] Book Cover
Extending Machine Learning Algorithms [Video]
$ 124.99
$ 5.00
Hands-On Machine Learning for Algorithmic Trading Book Cover
Hands-On Machine Learning for Algorithmic Trading
$ 35.99
$ 5.00
Buy 2 for $10.00
Save $150.98
Add to Cart

Video Description

Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. We will use libraries such as scikit-learn, e1071, randomForest, c50, xgboost, and so on.We will discuss the application of frequently used algorithms on various domain problems, using both Python and R programming.It focuses on the various tree-based machine learning models used by industry practitioners.We will also discuss k-nearest neighbors, Naive Bayes, Support Vector Machine and recommendation engine.By the end of the course, you will have mastered the required statistics for Machine Learning Algorithm and will be able to apply your new skills to any sort of industry problem.

Style and Approach

This course contains problem solution approach. Each video focuses on a particular task at hand, and is explained in a very simple, easy to understand manner.

Video Preview

What You Will Learn

  • Learns various tree based machine learning models
  • Understands k-nearest neighbor and Naive Bayes model
  • Describes various Support vector machines functionalities and usage of kernel
  • Executes recommendation on the provided data

Authors

Video Details

ISBN 139781788998994
Course Length2 hours and 05 minutes
Read More

Read More Reviews

Recommended for You

Hands-On Machine Learning for Algorithmic Trading Book Cover
Hands-On Machine Learning for Algorithmic Trading
$ 35.99
$ 5.00
Hands-On Machine Learning with OpenCV 4 [Video] Book Cover
Hands-On Machine Learning with OpenCV 4 [Video]
$ 124.99
$ 5.00
Hands-On Machine Learning Using Amazon SageMaker [Video] Book Cover
Hands-On Machine Learning Using Amazon SageMaker [Video]
$ 124.99
$ 5.00
Hands-On Machine Learning with TensorFlow.js [Video] Book Cover
Hands-On Machine Learning with TensorFlow.js [Video]
$ 124.99
$ 5.00
Practical DevOps Security [Video] Book Cover
Practical DevOps Security [Video]
$ 124.99
$ 5.00
Machine Learning on iOS with CoreML [Video] Book Cover
Machine Learning on iOS with CoreML [Video]
$ 99.99
$ 5.00