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The Complete Machine Learning Course with Python
The Complete Machine Learning Course with Python

The Complete Machine Learning Course with Python: Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

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Profile Icon Anthony Ng
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$165.99
Video Oct 2018 18hrs 22mins 1st Edition
Video
$165.99
Video + Subscription
$24.99 Monthly
Arrow left icon
Profile Icon Anthony Ng
Arrow right icon
$165.99
Video Oct 2018 18hrs 22mins 1st Edition
Video
$165.99
Video + Subscription
$24.99 Monthly
Video
$165.99
Video + Subscription
$24.99 Monthly

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Key benefits

  • Solve any problem in your business or job with powerful Machine Learning models
  • Go from zero to hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, and unsupervised Machine Learning etc.

Description

Do you ever want to be a data scientist and build Machine Learning projects that can solve real-life problems? If yes, then this course is perfect for you. You will train machine learning algorithms to classify flowers, predict house price, identify handwritings or digits, identify staff that is most likely to leave prematurely, detect cancer cells and much more! Inside the course, you'll learn how to: • Set up a Python development environment correctly • Gain complete machine learning toolsets to tackle most real-world problems • Understand the various regression, classification and other ml algorithms performance metrics such as R-squared, MSE, accuracy, confusion matrix, prevision, recall, etc. and when to use them. • Combine multiple models with by bagging, boosting or stacking • Make use to unsupervised Machine Learning (ML) algorithms such as Hierarchical clustering, k-means clustering etc. to understand your data • Develop in Jupyter (IPython) notebook, Spyder and various IDE • Communicate visually and effectively with Matplotlib and Seaborn • Engineer new features to improve algorithm predictions • Make use of train/test, K-fold and Stratified K-fold cross-validation to select the correct model and predict model perform with unseen data • Use SVM for handwriting recognition, and classification problems in general • Use decision trees to predict staff attrition • Apply the association rule to retail shopping datasets • And much more! By the end of this course, you will have a Portfolio of 12 Machine Learning projects that will help you land your dream job or enable you to solve real-life problems in your business, job or personal life with Machine Learning algorithms.

Who is this book for?

A newbie who wants to learn machine learning algorithm with Python. Anyone who has a deep interest in the practical application of machine learning to real world problems. Anyone wishes to move beyond the basics and develop an understanding of the whole range of machine learning algorithms. Any intermediate to advanced EXCEL users who is unable to work with large datasets. Anyone interested to present their findings in a professional and convincing manner. Anyone who wishes to start or transit into a career as a data scientist. Anyone who wants to apply machine learning to their domain.

What you will learn

  • Learn to Build Powerful Machine Learning Models to Solve Any Problem
  • Learn to Train machine learning algorithms to predict house prices, identify handwriting, detect cancer cells & more

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Jul 03, 2026
Publication date : Oct 29, 2018
Length: 18hrs 22mins
Edition : 1st
Language : English
ISBN-13 : 9781789953725
Vendor :
Google
Category :
Languages :
Tools :

What do you get with a Packt Premium Subscription?

Subscribe today for full access to all titles. After checkout, you’ll receive an eBook credit that you can manually redeem on any title — including this one.
Product feature icon Access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon Weekly additions on emerging tech 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 A monthly credit and 50% off any future digital purchases.

Product Details

Last updated date : Jul 03, 2026
Publication date : Oct 29, 2018
Length: 18hrs 22mins
Edition : 1st
Language : English
ISBN-13 : 9781789953725
Vendor :
Google
Category :
Languages :
Tools :

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Table of Contents

10 Chapters
Introduction Chevron down icon Chevron up icon
Getting Started with Anaconda Chevron down icon Chevron up icon
Regression Chevron down icon Chevron up icon
Classification Chevron down icon Chevron up icon
Support Vector Machine (SVM) Chevron down icon Chevron up icon
Tree Chevron down icon Chevron up icon
Ensemble Machine Learning Chevron down icon Chevron up icon
k-Nearest Neighbours (kNN) Chevron down icon Chevron up icon
Dimensionality Reduction Chevron down icon Chevron up icon
Unsupervised Learning: Clustering Chevron down icon Chevron up icon
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