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Feature Importance using Random Forest and Decision Trees | How is Feature Importance calculated
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100 Days of Machine Learning | CampusX - Feature Importance using Random Forest and Decision Trees | How is Feature Importance calculated

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  • 62.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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This video breaks down the process using Random Forest and Decision Trees, making it easy to comprehend. Learn how these techniques help identify the most impactful features in your data. Code: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day65-random-forest ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Intro 00:52 - What is Feature Importance 06:10 - Feature importance in SKLearn 08:40 - Feature Importance Documentation 11:10 - Calculating Importance using Decision trees 23:45 - Calculating Importance using Random Forest

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