Boosting Machine Learning Models in Python

Boosting Machine Learning Models in Python

Boosting Machine Learning Models in Python
Boosting Machine Learning Models in Python, Leverage ensemble techniques to maximize your machine learning models in Python
  • NEW
  • Created by Packt Publishing
  • English
  • English [Auto-generated]


PREVIEW THIS COURSE - GET COUPON CODE

What you'll learn
  • Discover and use the main concepts behind ensemble techniques and learn why they are important in applied machine learning
  • Learn how to use bagging to combine predictions from multiple algorithms and predict more accurately than from any individual algorithm
  • Use boosting to create a strong classifier from a series of weak classifiers and improve the final performance
  • Explore how even a very simple ensemble technique such as voting can help you maximize performance
  • Also learn a powerful and less well-known stacking technique, where you combine different models with another machine learning algorithm to focus on distinctive features of your dataset for each individual model
  • Evaluate which ensemble technique is good for a particular problem
  • Train, test, and evaluate your own XGBoost models

Also read:

Blogger
Disqus
Select Comment System
-->