Train Test Split Using Scikit-Learn Explained | Part 3 | Random State 42

Описание: Welcome to Part 3 of our Train Test Split series! 🚀
In this video, we demonstrate how to split your dataset using Python’s scikit-learn library with a focus on Random State 42 to ensure reproducibility. Learn how to prepare your data for machine learning models and understand the importance of consistent train-test splits.

📘 What You’ll Learn:

How to use train_test_split() from scikit-learn

Setting the test size and train size

Using random_state=42 for reproducible results

Hands-on Python example for beginners


💡 Perfect for anyone learning Python, Machine Learning, or Data Science!

Don’t forget to like, comment, and subscribe for more tutorials!

#TrainTestSplit #Python #ScikitLearn #RandomState42 #DataScience #MachineLearning #PythonTutorial #TrainTestSplitPython #ML #MorningStatistics #DataPreparation