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End to End Hyper Parameter Optimization in Machine Learning | RandomizedSearchCV vs GridSearchCV

Satyajit Pattnaik 1,836 lượt xem 7 months ago
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This is the last class of the series, and below is the Agenda that we will learn in this video:

🔴 Agenda of this call:

✅ 0:00 Introduction
✅ 2:18 Hyper Parameter Optimization Basics
✅ 12:27 Manual Search
✅ 18:38 Grid Search vs Randomized Search
✅ 29:39 Manual Search (Practicals)
✅ 51:54 Randomized Search (Practicals)
✅ 1:10:16 Grid Search (Practicals)

🔴 Overall Agenda: (Check: https://bit.ly/3YGGMV5)

1. End to End Machine Learning
2. Classification Algorithms & Practical's
3. Regression Algorithms & Practical's
4. Clustering Algorithms & Practical's
5. Time Series Analysis & Forecasting & Practical's
6. Hyper Parameter Optimization
7. Feature Engineering
8. Projects with Deployment (AWS)

📈 Some Classic end to end ML Projects
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2. IPL Win Prediction (Sports): https://youtu.be/HipGRw5h-rI
3. Energy Demand Forecasting (Supply Chain): https://youtu.be/0KVsYgsaY5s
4. Fraud Detection: https://youtu.be/7lCHuyHJxls
5. Market Segmentation: https://www.youtube.com/watch?v=WhUfhOBKjEU

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