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Machine Learning 101 with Scikit-learn and StatsModels
Machine Learning 101 with Scikit-learn and StatsModels

Machine Learning 101 with Scikit-learn and StatsModels: Begin your machine learning journey by learning all about linear regression, logistic regression, and cluster analysis

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$19.99 per month
Video Jul 2019 5hrs 13mins 1st Edition
Video
$9.99 $183.99
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Renews at $19.99p/m
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Profile Icon 365 Careers Ltd.
Arrow right icon
$19.99 per month
Video Jul 2019 5hrs 13mins 1st Edition
Video
$9.99 $183.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$9.99 $183.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Learn machine learning with StatsModels and sklearn
  • Apply machine learning skills to solve real-world business cases
  • Get started with linear regression, logistic regression, and cluster analysis

Description

Machine Learning is one of the fundamental skills you need to become a data scientist. It’s the steppingstone that will help you understand deep learning and modern data analysis techniques. In this course, you’ll explore the three fundamental machine learning topics - linear regression, logistic regression, and cluster analysis. Even neural networks geeks (like us) can’t help but admit that it’s these three simple methods that data science revolves around. So, in this course, we will make the otherwise complex subject matter easy to understand and apply in practice. This course supports statistics theory with practical application of these quantitative methods in Python to help you develop skills in the context of data science. We’ve developed this course with not one but two machine learning libraries: StatsModels and sklearn. You’ll be eager to complete this course and get ready to become a successful data scientist! All the code and supporting files for this course are available at https://github.com/PacktPublishing/Machine-Learning-101-with-Scikit-learn-and-StatsModels

Who is this book for?

If you want to get acquainted with fundamental machine learning methods, become a successful data scientist, or just get started with building valuable skills in machine learning and data science, this course is for you.

What you will learn

  • Confidently work with two of the leading ML packages: statsmodels and sklearn
  • Understand how to perform a linear regression
  • Become familiar with the ins and outs of logistic regression
  • Get to grips with carrying out cluster analysis (both flat and hierarchical)
  • Apply your skills to real-life business cases
  • Get insights into the underlying ideas behind ML models

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 10, 2019
Length: 5hrs 13mins
Edition : 1st
Language : English
ISBN-13 : 9781838987671
Category :
Languages :

What do you get with a Packt Subscription?

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Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Jul 10, 2019
Length: 5hrs 13mins
Edition : 1st
Language : English
ISBN-13 : 9781838987671
Category :
Languages :

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Frequently bought together


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Total $ 19.98 321.98 302.00 saved
Machine Learning 101 with Scikit-learn and StatsModels
$9.99 $183.99
Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn
$9.99 $137.99
Total $ 19.98 321.98 302.00 saved Stars icon
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Table of Contents

8 Chapters
Introduction Chevron down icon Chevron up icon
Setting Up the Working Environment Chevron down icon Chevron up icon
Linear Regression with StatsModels Chevron down icon Chevron up icon
Linear Regression with Sklearn Chevron down icon Chevron up icon
Linear Regression - Practical Example Chevron down icon Chevron up icon
Logistic Regression Chevron down icon Chevron up icon
Cluster Analysis Chevron down icon Chevron up icon
Cluster Analysis: Additional Topics Chevron down icon Chevron up icon
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