Python Machine Learning Tutorial | Splitting Your Data | Databytes
This Python machine learning tutorial for beginners will quickly walk you through how to split your data into training and testing sets. The topics covered in this video are:
00:00 - 01:52 Why and when to split data
01:53 - 06:12 Case study: loan applications
06:13 - 09:10 Splitting the data
09:11 - 10:11 Controlling train/test split quantities
10:12 - 12:32 Enforcing reproducibility
[Try it yourself!]
In datacamp, navigate to your workspace dashboard (https://app.datacamp.com/workspace/dashboard), click “Create Workspace,” go to the GITHUB tab and In the "GitHub repository name or URL" textbox, type: datacamp/workspace-tutorial-python-data-preprocessing-train-test-split
[More about Python]
Python is the most popular programming language today and is widely used across verticals from software and web development, game development, data science, machine learning, and more. Learning Python is imperative for aspiring data scientists, data analysts, data engineers, and machine learning scientists.
[More Reads]
New Hire Spotlight: Ramping Up at DataCamp in a Remote Work Environment | DataCamp https://www.datacamp.com/blog/new-hire-spotlight-ramping-up-at-datacamp-in-a-remote-work-environment
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To learn more about Python, check out the following resources:
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Chapters (5)
01:52 Why and when to split data
1:53
06:12 Case study: loan applications
6:13
09:10 Splitting the data
9:11
10:11 Controlling train/test split quantities
10:12
12:32 Enforcing reproducibility
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Tutor Explanation
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