:Search:

Machine Learning Mastery From Data to Advanced Classifiers DevCourseWeb

Torrent:
Magnet Download .torrent File
Info Hash: 55903BAFD09E3875D0D16C177067CE62BA9A955B
Similar Posts:
Name Uploaded Size Se Le Upl. by
Machine Learning in Information and Communication Technology Proceedi… Machine Learning in Information and Communication Technology Proceedings of ICICT 2021 SMIT gt
2023-06-23 10.0 MB 8 1 FreeCourseWeb
Machine Learning and Knowledge Extraction 6th IFIP TC 5 DevCourseWeb Machine Learning and Knowledge Extraction 6th IFIP TC 5 DevCourseWeb
2023-07-01 97.6 MB 0 0 FreeCourseWeb
Machine Learning for Dummies 2nd Edition True AZW3 DevCourseWeb Machine Learning for Dummies 2nd Edition True AZW3 DevCourseWeb
2023-06-22 3.4 MB 0 4 FreeCourseWeb
Machine Learning on Kubernetes A practical handbook for building and … Machine Learning on Kubernetes A practical handbook for building and using a complete open source
2023-07-01 37.1 MB 12 9 FreeCourseWeb
Machine Learning For The Web Machine Learning For The Web
2023-07-01 21.3 MB 0 1 nico1899
Machine Learning Fundamentals A Concise Introduction BookRAR Machine Learning Fundamentals A Concise Introduction BookRAR
2023-07-01 63.9 MB 1 0 bookrar
Machine Learning with Dynamics 365 and Power Platform The Ultimate Gu… Machine Learning with Dynamics 365 and Power Platform The Ultimate Guide to Apply Predictive Analy
2023-07-01 11.1 MB 12 4 FreeCourseWeb
Machine Learning for Risk Calculations A Practitioner s View by Ignac… Machine Learning for Risk Calculations A Practitioner s View by Ignacio Ruiz EPUB
2023-07-01 24.0 MB 1 0 zakareya
Machine Learning for High Risk Applications Second Release DevCourseW… Machine Learning for High Risk Applications Second Release DevCourseWeb
2023-07-01 13.2 MB 9 1 FreeCourseWeb
Machine Learning Revised and Updated Edition BookRAR Machine Learning Revised and Updated Edition BookRAR
2023-07-01 7.9 MB 0 0 bookrar
Uploader: FreeCourseWeb
Source: T Logo Torrent Galaxy
Downloads: 22
Language: English
Category: Other
Size: 2.5 GB
Added: Feb. 29, 2024, 3:52 p.m.
Peers: Seeders: 6, Leechers: 8 (Last updated: 11 months, 1 week ago)
Tracker Data:
Tracker Seeders Leechers Completed
udp://open.stealth.si:80/announce 1 2 1
udp://exodus.desync.com:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.cyberia.is:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.opentrackr.org:1337/announce 2 1 16
udp://tracker.torrent.eu.org:451/announce 1 1 4
udp://explodie.org:6969/announce 1 1 0
udp://tracker.birkenwald.de:6969/announce 0 1 0
udp://tracker.moeking.me:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://ipv4.tracker.harry.lu:80/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.tiny-vps.com:6969/announce 1 1 1
udp://tracker.rarbg.torrentbay.st:6969/announce 0 1 0
Files:
  1. Get Bonus Downloads Here.url 182 bytes
  2. 1. Introduction.mp4 28.1 MB
  3. 2. Installing Jupyter.mp4 36.8 MB
  4. 3. How to download Python files.mp4 33.3 MB
  5. 1. Import Data.mp4 105.0 MB
  6. 1.1 File 1.ipynb 11.6 KB
  7. 10. 10 displaying the distribution of the data using a box plot.mp4 95.5 MB
  8. 10.1 File 10.ipynb 432.0 KB
  9. 11. 11 displaying the distribution of the data by the different categories.mp4 133.9 MB
  10. 11.1 File 11.ipynb 535.1 KB
  11. 12. 12 visualize the relationship between two variables with jointplot.mp4 135.2 MB
  12. 12.1 File 12.ipynb 955.8 KB
  13. 13. 13 calculating the correlation matrix of the DataFrame.mp4 84.9 MB
  14. 13.1 File 13.ipynb 969.4 KB
  15. 14. 14 creating a mask using NumPy.mp4 57.2 MB
  16. 14.1 File 14.ipynb 972.2 KB
  17. 15. 15 creating a color map using seaborn.mp4 33.6 MB
  18. 15.1 File 15.ipynb 978.1 KB
  19. 16. 16 creating a heatmap using seaborn.mp4 88.8 MB
  20. 16.1 File 16.ipynb 1.0 MB
  21. 17. 17 calculating the number of outliers.mp4 218.3 MB
  22. 17.1 File 17.ipynb 1.1 MB
  23. 18. 18 standardizing features.mp4 58.8 MB
  24. 18.1 File 18.ipynb 71.8 KB
  25. 19. 19 Hypothesis testing.mp4 34.9 MB
  26. 19.1 File 19.ipynb 75.5 KB
  27. 2. 2 visualizing missing data in a dataset.mp4 34.3 MB
  28. 2.1 File 2.ipynb 90.8 KB
  29. 20. 20 Normalization.mp4 131.9 MB
  30. 20.1 File 20.ipynb 112.4 KB
  31. 21. 21 split the data into training and testing sets.mp4 147.0 MB
  32. 21.1 File 21.ipynb 141.8 KB
  33. 22. 22 Start traning SVC and Learn Hyperparameters.mp4 62.6 MB
  34. 22.1 File 22.ipynb 144.5 KB
  35. 23. 23 find the best hyperparameter.mp4 100.4 MB
  36. 23.1 File 23.ipynb 147.6 KB
  37. 24. 24 make predictions on the test data and avaluate the model.mp4 134.8 MB
  38. 24.1 File 24.ipynb 155.4 KB
  39. 25. 25 Train RandomForestClassifier.mp4 101.8 MB
  40. 25.1 File 25.ipynb 160.2 KB
  41. 26. 26 Train XGBClassifier.mp4 63.7 MB
  42. 26.1 File 26.ipynb 165.7 KB
  43. 27. 27 Train KNeighborsClassifier.mp4 47.9 MB
  44. 27.1 File 27.ipynb 171.2 KB
  45. 28. 28 Train LGBMClassifier.mp4 59.8 MB
  46. 28.1 File 28.ipynb 180.8 KB
  47. 29. 29 calculate the (ROC) curve and the (AUC) score.mp4 104.9 MB
  48. 29.1 File 29.ipynb 238.0 KB
  49. 3. 3 calculating statistical information.mp4 57.9 MB
  50. 3.1 File 3.ipynb 101.6 KB
  51. 4. 4 checking for duplicate rows in the DataFrame.mp4 30.4 MB
  52. 4.1 File 4.ipynb 103.1 KB
  53. 5. 5 calculating the number of distinct values in each column.mp4 56.2 MB
  54. 5.1 File 5.ipynb 105.6 KB
  55. 6. 6 checking for missing or null values in the DataFrame.mp4 34.2 MB
  56. 6.1 File 6.ipynb 117.3 KB
  57. 7. 7 Cleaning the data.mp4 71.2 MB
  58. 7.1 File 7.ipynb 128.0 KB
  59. 8. 8 creating a new column called 'Label' in the DataFrame.mp4 78.7 MB
  60. 8.1 File 8.ipynb 158.3 KB
  61. 9. 9 creating a histogram plot.mp4 117.6 MB
  62. Bonus Resources.txt 386 bytes

Discussion