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!]

[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.

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To learn more about Python, check out the following resources:

[MegaBliss]

Over fitting, Data leakage - can be prevented by splitting data into 2 - train set and test set