Effective Prediction with Machine Learning - Second Edition [Video]

Effective Prediction with Machine Learning - Second Edition [Video]

Julian Avila

A one-stop solution to quickly program fast Machine Learning algorithms with NumPy and scikit-learn
Mapt Subscription
FREE
$30.00/m after trial
Video
$18.75
RRP $124.99
Save 84%
What do I get with a Mapt subscription?
  • Unlimited access to all Packt’s 6,000+ eBooks and Videos
  • 100+ new titles a month, learning paths, assessments & code files
  • 1 Free eBook or Video to download and keep every month after trial
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
$0.00
$18.75
$29.99 p/m after trial
RRP $124.99
Subscription
Video
Start 14 Day Trial

Frequently bought together


Effective Prediction with Machine Learning - Second Edition [Video] Book Cover
Effective Prediction with Machine Learning - Second Edition [Video]
$ 124.99
$ 18.75
Building Machine Learning Systems with Python - Third Edition Book Cover
Building Machine Learning Systems with Python - Third Edition
$ 31.99
$ 22.40
Buy 2 for $35.00
Save $121.98
Add to Cart

Video Description

Scikit-learn has evolved as a robust library for machine learning applications in Python with support for a wide range of supervised and unsupervised learning algorithms.

This course begins by taking you through videos on evaluating the statistical properties of data and generating synthetic data for machine learning modeling. As you progress through the sections, you will come across videos that will teach you to implement techniques such as data pre-processing, linear regression, logistic regression, and K-NN. You will also look at Pre-Model and Pre-Processing workflows, to help you choose the right models.

Finally, you'll explore dimensionality reduction with various parameters.

Style and Approach

This course consists of practical videos on scikit-learn that target novices as well as intermediate users. It explores technical issues in depth, covers additional protocols, and supplies many more real-life examples so that you are able to implement scikit-learn in your daily life.

Video Preview

What You Will Learn

  • Build predictive models in minutes by using scikit-learn
  • Understand the differences and relationships between Classification and Regression
  • Use distance metrics to predict in Clustering
  • Find points with similar characteristics with Nearest Neighbors
  • Use automation and cross-validation to find the best model and focus on it for a data product

Authors

Video Details

ISBN 139781789132793
Course Length1 hour and 32 minutes
Read More

Read More Reviews

Recommended for You

Building Machine Learning Systems with Python - Third Edition Book Cover
Building Machine Learning Systems with Python - Third Edition
$ 31.99
$ 22.40
Natural Language Processing with Java - Second Edition Book Cover
Natural Language Processing with Java - Second Edition
$ 31.99
$ 22.40
Mastering Unsupervised Learning with Python [Video] Book Cover
Mastering Unsupervised Learning with Python [Video]
$ 124.99
$ 18.75
Building an RPG with Unity 2018 - Second Edition Book Cover
Building an RPG with Unity 2018 - Second Edition
$ 35.99
$ 25.20
Hands-on Deep Learning with TensorFlow [Video] Book Cover
Hands-on Deep Learning with TensorFlow [Video]
$ 124.99
$ 18.75
Learn Design Patterns with Java [Video] Book Cover
Learn Design Patterns with Java [Video]
$ 124.99
$ 18.75