Info hash | 9e378efb6e2f67de46c6c3660d9675be50bfc21f |
Last mirror activity | 0:03 ago |
Size | 15.00GB (15,004,863,898 bytes) |
Added | 2023-04-24 20:38:40 |
Views | 223 |
Hits | 1929 |
ID | 4990 |
Type | multi |
Downloaded | 20272 time(s) |
Uploaded by | freecourses |
Folder | [FreeCourseSite.com] Udemy - Machine Learning A-Z Become Kaggle Master |
Num files | 541 files [See full list] |
Mirrors | 36 complete, 2 downloading = 38 mirror(s) total [Log in to see full list] |
[FreeCourseSite.com] Udemy - Machine Learning A-Z Become Kaggle Master (541 files)
3. Pandas/12. Pivot Table.mp4 | 29.05MB |
3. Pandas/11. Merging Part2.vtt | 5.87kB |
3. Pandas/11. Merging Part2.mp4 | 35.55MB |
3. Pandas/10. groupby.vtt | 7.23kB |
3. Pandas/10. groupby.mp4 | 49.20MB |
3. Pandas/1. Introduction.vtt | 8.06kB |
3. Pandas/1.1 Pandas.zip.zip | 15.83kB |
3. Pandas/1. Introduction.mp4 | 41.00MB |
26. Project Kaggle/9. First Categorical column analysis.vtt | 15.02kB |
26. Project Kaggle/9. First Categorical column analysis.mp4 | 74.58MB |
26. Project Kaggle/8. Evaluating Worst ML Model.vtt | 7.24kB |
26. Project Kaggle/8. Evaluating Worst ML Model.mp4 | 61.73MB |
26. Project Kaggle/7. Building A Worst Model.vtt | 10.92kB |
26. Project Kaggle/7. Building A Worst Model.mp4 | 71.81MB |
26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.vtt | 20.46kB |
26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.mp4 | 89.66MB |
26. Project Kaggle/5. Train, Test And Cross Validation Split.vtt | 12.56kB |
26. Project Kaggle/5. Train, Test And Cross Validation Split.mp4 | 121.85MB |
26. Project Kaggle/4. Dealing with Text Data.vtt | 10.14kB |
26. Project Kaggle/4. Dealing with Text Data.mp4 | 102.82MB |
26. Project Kaggle/3. Translating the Problem In Machine Learning World.vtt | 12.16kB |
26. Project Kaggle/3. Translating the Problem In Machine Learning World.mp4 | 118.51MB |
26. Project Kaggle/21. Building Machine Learning model part6.vtt | 9.32kB |
26. Project Kaggle/21. Building Machine Learning model part6.mp4 | 53.29MB |
26. Project Kaggle/20. Building Machine Learning model part5.vtt | 5.21kB |
26. Project Kaggle/20. Building Machine Learning model part5.mp4 | 43.98MB |
26. Project Kaggle/2. Playing With The Data.vtt | 18.33kB |
26. Project Kaggle/2. Playing With The Data.mp4 | 143.71MB |
26. Project Kaggle/19. Building Machine Learning model part4.vtt | 4.01kB |
26. Project Kaggle/19. Building Machine Learning model part4.mp4 | 34.68MB |
26. Project Kaggle/18. Building Machine Learning model part3.vtt | 4.26kB |
26. Project Kaggle/18. Building Machine Learning model part3.mp4 | 40.28MB |
26. Project Kaggle/17. Building Machine Learning model part2.vtt | 15.67kB |
26. Project Kaggle/17. Building Machine Learning model part2.mp4 | 141.75MB |
26. Project Kaggle/16. Building Machine Learning model part1.vtt | 17.72kB |
26. Project Kaggle/16. Building Machine Learning model part1.mp4 | 130.04MB |
26. Project Kaggle/15. Data pre-processing before building machine learning model.vtt | 5.78kB |
26. Project Kaggle/15. Data pre-processing before building machine learning model.mp4 | 53.04MB |
26. Project Kaggle/14. Third Categorical column.vtt | 8.78kB |
26. Project Kaggle/14. Third Categorical column.mp4 | 69.96MB |
26. Project Kaggle/13. Second Categorical column.vtt | 5.40kB |
26. Project Kaggle/13. Second Categorical column.mp4 | 47.92MB |
26. Project Kaggle/12. Significance of first categorical column.vtt | 9.12kB |
26. Project Kaggle/12. Significance of first categorical column.mp4 | 75.23MB |
26. Project Kaggle/11. Laplace Smoothing and Calibrated classifier.vtt | 14.76kB |
26. Project Kaggle/11. Laplace Smoothing and Calibrated classifier.mp4 | 50.59MB |
26. Project Kaggle/10. Response encoding and one hot encoder.vtt | 6.73kB |
26. Project Kaggle/10. Response encoding and one hot encoder.mp4 | 57.34MB |
26. Project Kaggle/1.2 Teclov Project - Medical treatment.ipynb.zip.zip | 1.35MB |
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@article{, title= {Udemy - Machine Learning A-Z Become Kaggle Master}, journal= {}, author= {}, year= {}, url= {}, abstract= {}, keywords= {}, terms= {}, license= {}, superseded= {} }