[ WebToolTip com ] Udemy - Machine Learning (with Claude Code)


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Torrent File Content (190 files)


[ WebToolTip.com ] Udemy - Machine Learning (with Claude Code)
     Get Bonus Downloads Here.url -
180 bytes

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          1 - Introduction/1. Course Opening.mp4 -
31.08 MB

          1 - Introduction/1. Course Opening_en-US.srt -
1.86 KB

          1 - Introduction/1. Course Orientation and Overview.pdf -
322.42 KB

          2 - Module 1 - Supervised Learning/10. Chapter 2-1 Model as an Estimator.mp4 -
57.37 MB

          2 - Module 1 - Supervised Learning/10. Chapter 2-1 Model as an Estimator_en-US.srt -
6.55 KB

          2 - Module 1 - Supervised Learning/11. Chapter 2-2 Overfitting vs Underfitting.mp4 -
53.12 MB

          2 - Module 1 - Supervised Learning/11. Chapter 2-2 Overfitting vs Underfitting_en-US.srt -
5.72 KB

          2 - Module 1 - Supervised Learning/12. Chapter 2-3 Curse of Dimensionality.mp4 -
41.47 MB

          2 - Module 1 - Supervised Learning/12. Chapter 2-3 Curse of Dimensionality_en-US.srt -
5 KB

          2 - Module 1 - Supervised Learning/13. Chapter 2-4 Ensemble Methods.mp4 -
48.81 MB

          2 - Module 1 - Supervised Learning/13. Chapter 2-4 Ensemble Methods_en-US.srt -
5.46 KB

          2 - Module 1 - Supervised Learning/14. Chapter 2-5 Evaluation and Metrics.mp4 -
47.38 MB

          2 - Module 1 - Supervised Learning/14. Chapter 2-5 Evaluation and Metrics_en-US.srt -
4.99 KB

          2 - Module 1 - Supervised Learning/15. Chapter 2 Fundmental Concepts (Closing).mp4 -
21.04 MB

          2 - Module 1 - Supervised Learning/15. Chapter 2 Fundmental Concepts (Closing)_en-US.srt -
1.2 KB

          2 - Module 1 - Supervised Learning/16. Chapter 3 Algorithms (Opening).mp4 -
15.95 MB

          2 - Module 1 - Supervised Learning/16. Chapter 3 Algorithms (Opening)_en-US.srt -
1.07 KB

          2 - Module 1 - Supervised Learning/17. Chapter 3-1 Logistic Regression.mp4 -
69.56 MB

          2 - Module 1 - Supervised Learning/17. Chapter 3-1 Logistic Regression_en-US.srt -
7.96 KB

          2 - Module 1 - Supervised Learning/17. Lab 1 - Logistic Regression.pdf -
465.36 KB

          2 - Module 1 - Supervised Learning/17. Lab 1 - Titanic Dataset.csv -
58.89 KB

          2 - Module 1 - Supervised Learning/18. Chapter 3-2 Support Vector Machines.mp4 -
39.64 MB

          2 - Module 1 - Supervised Learning/18. Chapter 3-2 Support Vector Machines_en-US.srt -
4.32 KB

          2 - Module 1 - Supervised Learning/18. Lab 2 - Support Vector Machine.pdf -
440.1 KB

          2 - Module 1 - Supervised Learning/19. Chapter 3-3 Decision Trees and Random Forest.mp4 -
63.67 MB

          2 - Module 1 - Supervised Learning/19. Chapter 3-3 Decision Trees and Random Forest_en-US.srt -
6.35 KB

          2 - Module 1 - Supervised Learning/19. Lab 3 - Decision Tree and Random Forest.pdf -
492.15 KB

          2 - Module 1 - Supervised Learning/19. Lab 3 - Loans Dataset.csv -
733.65 KB

          2 - Module 1 - Supervised Learning/2. Chapter 1 Estimation Theory (Opening).mp4 -
16.46 MB

          2 - Module 1 - Supervised Learning/2. Chapter 1 Estimation Theory (Opening)_en-US.srt -
1.05 KB

          2 - Module 1 - Supervised Learning/20. Chapter 3-4 Naive Bayes, K Nearest Neighbours and Linear Regression.mp4 -
78.67 MB

          2 - Module 1 - Supervised Learning/20. Chapter 3-4 Naive Bayes, K Nearest Neighbours and Linear Regression_en-US.srt -
8.6 KB

          2 - Module 1 - Supervised Learning/20. Lab 4 - Naive Bayes.pdf -
335.62 KB

          2 - Module 1 - Supervised Learning/20. Lab 4 - Wines Dataset.csv -
11.21 KB

          2 - Module 1 - Supervised Learning/20. Lab 5 - Anonymised Dataset.csv -
189.77 KB

          2 - Module 1 - Supervised Learning/20. Lab 5 - K Nearest Neighbours.pdf -
376.08 KB

          2 - Module 1 - Supervised Learning/21. Chapter 3-5 Feature Selection.mp4 -
63.06 MB

          2 - Module 1 - Supervised Learning/21. Chapter 3-5 Feature Selection_en-US.srt -
6.37 KB

          2 - Module 1 - Supervised Learning/22. Chapter 3 Algorithms (Closing).mp4 -
23.57 MB

          2 - Module 1 - Supervised Learning/22. Chapter 3 Algorithms (Closing)_en-US.srt -
1.4 KB

          2 - Module 1 - Supervised Learning/3. Chapter 1-1 What is Estimation.mp4 -
59.64 MB

          2 - Module 1 - Supervised Learning/3. Chapter 1-1 What is Estimation_en-US.srt -
7.52 KB

          2 - Module 1 - Supervised Learning/4. Chapter 1-2 Properties of Estimators.mp4 -
58.61 MB

          2 - Module 1 - Supervised Learning/4. Chapter 1-2 Properties of Estimators_en-US.srt -
7.27 KB

          2 - Module 1 - Supervised Learning/5. Chapter 1-3 Mean Squared Error and the Bias Variance Tradeoff.mp4 -
55.24 MB

          2 - Module 1 - Supervised Learning/5. Chapter 1-3 Mean Squared Error and the Bias Variance Tradeoff_en-US.srt -
6.45 KB

          2 - Module 1 - Supervised Learning/6. Chapter 1-4 Three Classical Estimation Methods.mp4 -
49.56 MB

          2 - Module 1 - Supervised Learning/6. Chapter 1-4 Three Classical Estimation Methods_en-US.srt -
6.51 KB

          2 - Module 1 - Supervised Learning/7. Chapter 1-5 From Estimation Theory to Machine Learning.mp4 -
28.6 MB



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