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Understanding Machine Learning with Python 3

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Duration

1h 54m

level

Beginner

Course Creator

Jerry Kurata

Last Updated

21-Jun-24

Use your data to predict future events with the help of machine learning. This course will walk you through creating a machine learning prediction solution and will introduce Python, the scikit-learn library, and the Jupyter Notebook environment.

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Hello! My name is Jerry Kurata, and welcome to Understanding Machine Learning with Python. In this course, you will gain an understanding of how to use Python for Machine Learning. You will get there by covering major topics like:
Author Name: Jerry Kurata
Author Description:
Jerry has Bachelor of Science degrees in Geology and Physics. His plans to work in the oil exploration industry were sidetracked when he discovered he preferred to work with computers on simulation and data processing, instead of reading mud and core samples in the North Sea. His love of computers and tech resulted in him spending many additional hours working on computers while getting his Master’s degree in Computer Science. His current areas of interests include Machine Learning, Big Data,… more

Table of Contents

  • Course Overview
    1min
  • Getting Started in Machine Learning
    26mins
  • Understanding the Machine Learning Workflow
    4mins
  • Asking the Right Question
    5mins
  • Preparing Your Data
    18mins
  • Selecting Your Algorithm
    11mins
  • Training the Model
    16mins
  • Testing Your Model’s Accuracy
    24mins
  • Summary
    5mins

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Understanding Machine Learning with Python 3
Understanding Machine Learning with Python 3
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