Learn Date & Time Handling in Machine Learning step by step! 🚀
Date and time features play a crucial role in building powerful machine learning models. In this tutorial, you’ll learn how to handle, clean, and extract useful insights from datetime data for better predictions.
GitHub code : https://github.com/Tutoriallearn/Machine-Learning-/tree/main/11-DateTimeHanding
Document Url: https://onedrive.live.com/personal/d4821c610930642c/_layouts/15/Doc.aspx?sourcedoc=%7B295e2cd6-6b0d-412a-9c41-8eb52b321ddb%7D&action=view&wd=target%28Handling%20Datetime%20and%20%20Mixed%20Data.one%7C%2F1.Handling%20date%20and%20Time%7Cbe174dce-eb4c-415d-89a2-a38c0e7bffcc%2F%29&wdorigin=703&wdpartid=%7Bfd56dd4e-52a8-4898-935e-18c3b28163ce%7D%7B219%7D&wdsectionfileid=%7Bd4821c610930642c%21s04e5c1559d154b688bf7bfcefd3eaa5e%7D
👉 In this video, you’ll learn:
✔️ What is DateTime data in Machine Learning
✔️ Why date & time features are important
✔️ How to convert and parse dates using Python
✔️ Extracting features (year, month, day, hour, weekday)
✔️ Handling missing date values
✔️ Feature engineering techniques for time-based data
✔️ Real-world examples using Pandas
🎯 This tutorial is perfect for beginners in Machine Learning, Data Science, and AI who want to master data preprocessing.
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