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Udemy AI Agents and Automation Data Analyze Prep Descriptiv

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Language: English
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 -Introduction to Predictive Modeling.mp4 76.2 MB
  3. 2 -Understanding Data Preprocessing.mp4 74.3 MB
  4. 3 -The Role of Statistics in Model Development.mp4 80.1 MB
  5. 4 -Data Balancing Techniques An Overview.mp4 89.3 MB
  6. 5 -Scaling and Normalization Why It Matters.mp4 78.3 MB
  7. 6 -Feature Engineering for Predictive Models.mp4 74.1 MB
  8. 7 -Exploratory Data Analysis (EDA) for Model Insights.mp4 64.5 MB
  9. 1 -Common Challenges in Data Preparation.mp4 70.9 MB
  10. 2 -Data Preprocessing in Action.mp4 71.3 MB
  11. 3 -Advanced Data Balancing Techniques.mp4 82.7 MB
  12. 4 -Handling Imbalanced Datasets with SMOTE.mp4 74.2 MB
  13. 5 -Scaling Methods Min-Max, Standardization, and More.mp4 80.5 MB
  14. 6 -Impact of Scaling on Model Performance.mp4 82.1 MB
  15. 7 -Practical Guide to Feature Scaling.mp4 73.4 MB
  16. 1 -Real-World Applications of Data Balancing.mp4 84.9 MB
  17. 2 -Scaling and Balancing in Machine Learning Pipelines.mp4 86.5 MB
  18. 3 -Balancing and Scaling in Practice.mp4 88.9 MB
  19. 4 -Advanced Balancing and Scaling Techniques.mp4 101.6 MB
  20. 5 -Summary and Key Takeaways.mp4 90.2 MB
  21. 6 -Final Thoughts and Next Steps.mp4 88.1 MB
  22. Bonus Resources.txt 70 bytes

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