:Search:

Udemy Python for AI and Machine Learning From Beginner to Pro

Torrent:
Info Hash: 2363DAA61D7A0670E1BC7D53C8CA621CB7E2FEED
Similar Posts:
Uploader: freecoursewb
Source: 1 Logo 1337x
Downloads: 4520
Type: Tutorials
Language: English
Category: Other
Size: 2.3 GB
Added: Aug. 14, 2025, 9:21 a.m.
Peers: Seeders: 63, Leechers: 0 (Last updated: 2 months, 1 week ago)
Tracker Data:
Tracker Seeders Leechers Completed
udp://tracker.therarbg.to:6969/announce 0 0 0
udp://tracker.opentrackr.org:1337/announce 19 0 2470
udp://open.demonoid.ch:6969/announce 0 0 0
udp://open.demonii.com:1337/announce 0 0 0
udp://open.stealth.si:80/announce 13 0 2050
udp://explodie.org:6969/announce 13 0 0
udp://exodus.desync.com:6969/announce 18 0 0
udp://wepzone.net:6969/announce 0 0 0
udp://tracker1.myporn.club:9337/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.srv00.com:6969/announce 0 0 0
Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 -Welcome and course overview.mp4 70.3 MB
  3. 2 -What is Artificial Intelligence.mp4 31.6 MB
  4. 3 -What is Machine Learning.mp4 49.9 MB
  5. 4 -Why Python is the Top Choice for AI & Machine Learning.mp4 20.6 MB
  6. 5 -3.pdf 1.3 MB
  7. 5 -Install Python through Miniconda.url 86 bytes
  8. 5 -Setting up Python.mp4 16.9 MB
  9. 6 -Create environments and install packages.url 94 bytes
  10. 6 -Setting up your Python environment for AIML.mp4 36.2 MB
  11. 7 -Install and Run Jupyter notebook.txt 1.7 KB
  12. 7 -Installing and Running Jupyter Notebook.mp4 24.3 MB
  13. 1 -Detecting and Counting Plants Using Computer Vision Techniques.ipynb 1.3 MB
  14. 1 -Detecting and Counting Plants Using Computer Vision Techniques.mp4 99.3 MB
  15. 1 -Comprehensive Guide to Machine Learning, and Data Processing, Part 1.mp4 104.2 MB
  16. 1 -Geospatial_analysis_project_organised_new 29_7_2024.ipynb 249.6 KB
  17. 2 -Comprehensive Guide to Machine Learning, and Data Processing, Part 2.mp4 116.2 MB
  18. 3 -Comprehensive Guide to Machine Learning, and Data Processing, Part 3.mp4 83.7 MB
  19. 4 -Comprehensive Guide to Machine Learning, and Data Processing, Part 4.mp4 75.7 MB
  20. 5 -Comprehensive Guide to Machine Learning, and Data Processing, Part 5.mp4 52.4 MB
  21. 1 - Further Reading and Tutorials.html 4.0 KB
  22. 1 -Python basics Variables, data types, and operators.mp4 17.0 MB
  23. 1 -Types of data in Python.ipynb 7.2 KB
  24. 2 -Control Flow in Python.ipynb 3.2 KB
  25. 2 -Control flow If statements, loops, and exceptions.mp4 8.2 MB
  26. 3 -Functions in Python.mp4 15.1 MB
  27. 3 -Functions.url 63 bytes
  28. 3 -Functions_in_Python.ipybn 418 bytes
  29. 4 -Modules in Python.ipynb 2.3 KB
  30. 4 -Modules in Python.mp4 16.9 MB
  31. 4 -Modules in Python.url 71 bytes
  32. 5 -Working with lists, dictionaries, and sets for data processing.mp4 61.1 MB
  33. 1 -Introduction to NumPy for numerical computing.mp4 82.0 MB
  34. 1 -NumPy+Python+for+Researchers.ipynb 22.7 KB
  35. 2 -File Handling in Python.mp4 25.2 MB
  36. 2 -File handling in Python.md 1.9 KB
  37. 3 -Directory+and+path.ipynb 14.4 KB
  38. 3 -Managing Directories in Python.mp4 21.9 MB
  39. 4 - Data manipulation with Pandas DataFrames, filtering, and merging.html 1.9 KB
  40. 1 -Creating plots with Matplotlib Line, scatter, and bar charts.mp4 61.0 MB
  41. 1 -Plotting in Python.ipynb 2.0 MB
  42. 1 -london_borough_profiles1.csv 20.0 KB
  43. 1 -myPub.csv 206 bytes
  44. 1 -sar_data.csv 553 bytes
  45. 2 -Advanced visualizations with Seaborn Heatmaps, pair plots, and box plots.mp4 68.5 MB
  46. 3 - Customizing plots for presentations and reports.html 3.3 KB
  47. 3 - Visualizing ML model performance (e.g., confusion matrices, ROC curves).html 2.6 KB
  48. 1 -Advanced Machine Learning Techniques for Classifying Synthetic Data.mp4 46.4 MB
  49. 1 -Comparison of Different ML Classifiers on Synthetic Dataset.url 111 bytes
  50. 1 -CNNs_LULC_Classification_EuroSAT_Azad_Rasul.ipynb 786.8 KB
  51. 1 -Convolutional neural network (CNN) with PyTorch for image classification.mp4 125.2 MB
  52. 2 -Step-by-Step Guide to GPU Setup for Machine Learning & Deep Learning!.url 118 bytes
  53. 2 -Using GPUs for faster training.mp4 110.1 MB
  54. 1 -Introduction to colab.pdf 201.6 KB
  55. 1 -Setting up Google Colab for AIML projects.mp4 29.1 MB
  56. 1 -Building a Machine Learning Model for Crop Health Analysis.mp4 75.6 MB
  57. 1 -Crop Health Using RS data and Neural Networks.ipynb 67.2 KB
  58. 1 -AQI in India AR.ipynb 2.4 MB
  59. 1 -Air Quality Monitoring in India A Python and ML Case Study Part 1.mp4 81.6 MB
  60. 2 -Air Quality Monitoring in India A Python and ML Case Study Part 2.mp4 111.3 MB
  61. 3 -Air Quality Monitoring in India A Python and ML Case Study Part 3.mp4 156.2 MB
  62. 4 -Air Quality Monitoring in India A Python and ML Case Study Part 4.mp4 80.7 MB
  63. data.csv 58.3 MB
  64. Dem_Erbil.tif 8.6 MB
  65. DrnMppr-DEM-AOI.tif 17.1 MB
  66. DrnMppr-DTM-AOI.tif 8.6 MB
  67. DrnMppr-ORT-AOI.tif 119.6 MB
  68. NDWI_Annual_2014_Dukan.tif 16.1 KB
  69. NDWI_Annual_2015_Dukan.tif 15.9 KB
  70. NDWI_Annual_2016_Dukan.tif 18.3 KB
  71. NDWI_Annual_2017_Dukan.tif 15.6 KB
  72. NDWI_Annual_2018_Dukan.tif 15.5 KB
  73. NDWI_Annual_2019_Dukan.tif 15.7 KB
  74. Erbil_Rain.csv 556 bytes
  75. LC08_169035_20210909.tif 13.7 MB
  76. aoi.cpg 5 bytes
  77. aoi.dbf 252 bytes
  78. aoi.prj 384 bytes
  79. aoi.shp 316 bytes
  80. aoi.shx 108 bytes
  81. dem.tif 17.1 MB
  82. dtm.tif 8.6 MB
  83. ortho.tif 119.6 MB
  84. plant_count.cpg 5 bytes
  85. plant_count.dbf 261 bytes
  86. plant_count.prj 384 bytes
  87. plant_count.shp 316 bytes
  88. plant_count.shx 108 bytes
  89. plots_1.cpg 5 bytes
  90. plots_1.dbf 5.0 KB
  91. plots_1.prj 384 bytes
  92. plots_1.shp 24.8 KB
  93. plots_1.shx 1.1 KB
  94. plots_2.dbf 4.3 KB
  95. plots_2.prj 384 bytes
  96. plots_2.shp 15.3 KB
  97. plots_2.shx 748 bytes
  98. Bonus Resources.txt 70 bytes

Discussion