Introduction to Data Analysis in Python (Part 2)

Introduction to Data Analysis in Python (Part 2)

Online event
Overview

This course explores how to use Python for "Machine Learning" - teaching a computer to find patterns in data.

During this course you will learn how to build and check models that can make decisions based on data. 

What you will need:

You should have some experience with Python; completion of Introduction to Data Analysis in Python (Part 1) is recommended. You will need a Google account to use Colab. 

What you will learn:  

  • How to choose and "fit" a machine learning model to your data. 
  • How to split your data into "training" and "testing" groups to see how well your model works. 
  • How to fine-tune your model settings to get the best results. 

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Highlights

  • 3 hours
  • Online

Location

Online event

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