Description

Machine Learning With Python Hands-On Projects Buy Jamie Chan PDF

Have you always been intrigued by machine learning but are unsure where to begin? Maybe your new job requires you to understand machine learning, but you’re overwhelmed by the amount of knowledge available on the internet.

What is machine learning, and how does it work? What is Scikit-Learn and how does it work? What is the purpose of the fit() method, which appears in so many online tutorials?

Do you think of machine learning as a black box?

This is a book for you.

You won’t have to waste hours watching videos online or reading tutorials that assume you already know how to use Python’s important scientific and machine learning modules. This book provides solutions to all of the aforementioned questions and more.

What you’ll learn:

  • What is Machine Learning
  • What is supervised, unsupervised, and reinforcement learning
  • How to use the NumPy and pandas library
  • How to use matplotlib to plot charts
  • What is the Scikit-Learn library?
  • What do the fit() and transform() methods do
  • How to pre-process our data
  • How to use pipelines and column transformers to streamline our code
  • How to evaluate our models
  • What is a confusion matrix and how to interpret it
  • What is regression, classification, and clustering
  • What is the theory behind the linear regression, poly regression, decision tree, random forest, SVM, and k-means clustering algorithms
  • How to do a grid search to find the best hyperparameters
  • What is regularization
  • How to reduce the dimensions of our dataset

About The Author

Jamie Chan

Python Learning Machine Release Date

  • ASIN ‏ : ‎ B09BT7YCCM
  • Publisher ‏ : ‎ Independently published (August 3, 2021)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 218 pages
  • ISBN-13 ‏ : ‎ 979-8549178373

Python Learning Machine Book Download

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