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Python Machine Learning Bootcamp
Python Machine Learning Bootcamp

Python Machine Learning Bootcamp: Become essential in a world centered around machine learning

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Profile Icon Maximilian Schallwig
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€18.99 per month
Video Dec 2022 23hrs 59mins 1st Edition
Video
€8.99 €82.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Maximilian Schallwig
Arrow right icon
€18.99 per month
Video Dec 2022 23hrs 59mins 1st Edition
Video
€8.99 €82.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€8.99 €82.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • Gain technical skills to use machine learning on the job or for your own projects
  • Dive deep into classification, regression, ensembles, dimensionality reduction, and unsupervised learning
  • Get ready to start applying machine learning on the job or in technical interviews

Description

In this course, we will cover many different types of machine learning aspects. We will start by going through a sample machine learning project from an idea to developing a final working model. You will learn many important techniques around data preparation, cleaning, feature engineering, optimization and learning techniques, and much more. Once we have gone through the whole machine learning project, we will then dive deeper into several different areas of machine learning, to better understand each task, and how each of the models we can use to solve these tasks work, and then also using each model and understanding how we can tune all the parameters we learned about in the theory components. We will dive deeper into classification, regression, ensembles, dimensionality reduction, and unsupervised learning. At the end of this course, you should have a solid foundation of machine learning knowledge. You will be able to build machine learning solutions to different types of problems you will come across and be ready to start applying machine learning on the job or in technical interviews. All the resources for this course are available at: https://github.com/PacktPublishing/Python-Machine-Learning-Bootcamp

Who is this book for?

This course is designed for beginner Python programmers and data scientists who want to understand ML (Machine Learning) models in depth and be able to use them in practice. Basic Python knowledge is required and some previous experience with the Pandas and Matplotlib libraries will be helpful.

What you will learn

  • Learn how to take an ML idea and flush it out into a fully functioning project
  • Learn the different types of ML approaches and the models within each section
  • Get a theoretical and intuitive understanding of how each model works
  • See the practical application and implementation for each model we cover
  • Learn how to optimize models
  • Learn the common pitfalls and how to overcome them

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 27, 2022
Length: 23hrs 59mins
Edition : 1st
Language : English
ISBN-13 : 9781804619049
Category :
Languages :
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What do you get with a Packt Subscription?

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Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Dec 27, 2022
Length: 23hrs 59mins
Edition : 1st
Language : English
ISBN-13 : 9781804619049
Category :
Languages :
Concepts :
Tools :

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Table of Contents

7 Chapters
Pre-Machine Learning Steps Chevron down icon Chevron up icon
Machine Learning Workflow Chevron down icon Chevron up icon
Classification Chevron down icon Chevron up icon
Regression Chevron down icon Chevron up icon
Ensembles Chevron down icon Chevron up icon
Dimensionality Reduction Chevron down icon Chevron up icon
Unsupervised Learning Chevron down icon Chevron up icon
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