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Feature Selection for Machine Learning

Udemy
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Deal Score+2
Feature Selection for Machine Learning
Feature Selection for Machine Learning

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.

Product Brand: Udemy

Editor's Rating:
4.6

Udemy Coupon Code for Feature Selection for Machine Learning Course. Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.

Created by Soledad Galli, Train in Data Team | 5.5 hours on-demand video course

Machine Learning Course Overview

Feature Selection for Machine Learning

Welcome to Feature Selection for Machine Learning, the most comprehensive course on feature selection available online. In this course, you will learn how to select the variables in your data set and build simpler, faster, more reliable and more interpretable machine learning models.

Throughout the course, you are going to learn multiple techniques for each of the mentioned tasks, and you will learn to implement these techniques in an elegant, efficient, and professional manner, using Python, Scikit-learn, pandas and mlxtend.

At the end of the course, you will have a variety of tools to select and compare different feature subsets and identify the ones that returns the simplest, yet most predictive machine learning model. This will allow you to minimize the time to put your predictive models into production.

This comprehensive feature selection course includes about 70 lectures spanning ~8 hours of video, and ALL topics include hands-on Python code examples which you can use for reference and for practice, and re-use in your own projects.

What you’ll learn

  • Learn about filter, embedded and wrapper methods for feature selection
  • Find out about hybdrid methods for feature selection
  • Select features with Lasso and decision trees
  • Implement different methods of feature selection with Python
  • Learn why less (features) is more
  • Reduce the feature space in a dataset
  • Build simpler, faster and more reliable machine learning models
  • Analyse and understand the selected features
  • Discover feature selection techniques used in data science competitions

Complete Machine Learning,NLP Bootcamp MLOPS & Deployment

Complete Machine Learning,NLP Bootcamp MLOPS & Deployment

Master the theory, practice, and math behind ML,NLP. Build real-world projects with MLOPS, git, Dockers with deployment

Are you looking to master Machine Learning (ML) and Natural Language Processing (NLP) from the ground up? This Complete Machine Learning,NLP Bootcamp MLOPS & Deployment course is designed to take you on a journey from understanding the basics to mastering advanced concepts, all while providing practical insights and hands-on experience.

By the end of this course, you’ll have a comprehensive understanding of machine learning and natural language processing, from the basics to advanced concepts. You’ll be able to apply your knowledge to build real-world projects, and you’ll have the skills needed to pursue a career in ML and NLP.

Join us on this journey to master Machine Learning and Natural Language Processing. Enroll now and start building your future in AI.

Complete A.I. & Machine Learning, Data Science Bootcamp

Complete A.I. & Machine Learning, Data Science Bootcamp

Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

Become a complete A.I., Data Scientist and Machine Learning engineer! Join a live online community of 900,000+ engineers and a Complete A.I. & Machine Learning, Data Science Bootcamp course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Meta, + other top tech companies. You will go from zero to mastery!

Who this course is for

  • Beginner Data Scientists who want to understand how to select variables for machine learning
  • Intermediate Data Scientists who want to level up their experience in feature selection for machine learning
  • Advanced Data Scientists who want to discover alternative methods for feature selection
  • Software engineers and academics switching careers into data science
  • Software engineers and academics stepping into data science
  • Data analysts who want to level up their skills in data science

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Taught by Soledad Galli

Josh Smith
Josh Smith

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