Udemy Python for AI and Machine Learning From Beginner to Pro

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Info hash: 2363DAA61D7A0670E1BC7D53C8CA621CB7E2FEED
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freecoursewb
Source
1 1337x
Downloads
4520
Type
Tutorials
Language
English
Category
Other
Size
2.3 GB
Added
2025-08-14 09:21 (1 year, 2 months ago)
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5 seeders, 0 leechers (checked 1 day, 17 hours ago)
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Files
  1. Get Bonus Downloads Here.url180 bytes
  2. 1 -Welcome and course overview.mp470.3 MB
  3. 2 -What is Artificial Intelligence.mp431.6 MB
  4. 3 -What is Machine Learning.mp449.9 MB
  5. 4 -Why Python is the Top Choice for AI & Machine Learning.mp420.6 MB
  6. 5 -3.pdf1.3 MB
  7. 5 -Install Python through Miniconda.url86 bytes
  8. 5 -Setting up Python.mp416.9 MB
  9. 6 -Create environments and install packages.url94 bytes
  10. 6 -Setting up your Python environment for AIML.mp436.2 MB
  11. 7 -Install and Run Jupyter notebook.txt1.7 KB
  12. 7 -Installing and Running Jupyter Notebook.mp424.3 MB
  13. 1 -Detecting and Counting Plants Using Computer Vision Techniques.ipynb1.3 MB
  14. 1 -Detecting and Counting Plants Using Computer Vision Techniques.mp499.3 MB
  15. 1 -Comprehensive Guide to Machine Learning, and Data Processing, Part 1.mp4104.2 MB
  16. 1 -Geospatial_analysis_project_organised_new 29_7_2024.ipynb249.6 KB
  17. 2 -Comprehensive Guide to Machine Learning, and Data Processing, Part 2.mp4116.2 MB
  18. 3 -Comprehensive Guide to Machine Learning, and Data Processing, Part 3.mp483.7 MB
  19. 4 -Comprehensive Guide to Machine Learning, and Data Processing, Part 4.mp475.7 MB
  20. 5 -Comprehensive Guide to Machine Learning, and Data Processing, Part 5.mp452.4 MB
  21. 1 - Further Reading and Tutorials.html4.0 KB
  22. 1 -Python basics Variables, data types, and operators.mp417.0 MB
  23. 1 -Types of data in Python.ipynb7.2 KB
  24. 2 -Control Flow in Python.ipynb3.2 KB
  25. 2 -Control flow If statements, loops, and exceptions.mp48.2 MB
  26. 3 -Functions in Python.mp415.1 MB
  27. 3 -Functions.url63 bytes
  28. 3 -Functions_in_Python.ipybn418 bytes
  29. 4 -Modules in Python.ipynb2.3 KB
  30. 4 -Modules in Python.mp416.9 MB
  31. 4 -Modules in Python.url71 bytes
  32. 5 -Working with lists, dictionaries, and sets for data processing.mp461.1 MB
  33. 1 -Introduction to NumPy for numerical computing.mp482.0 MB
  34. 1 -NumPy+Python+for+Researchers.ipynb22.7 KB
  35. 2 -File Handling in Python.mp425.2 MB
  36. 2 -File handling in Python.md1.9 KB
  37. 3 -Directory+and+path.ipynb14.4 KB
  38. 3 -Managing Directories in Python.mp421.9 MB
  39. 4 - Data manipulation with Pandas DataFrames, filtering, and merging.html1.9 KB
  40. 1 -Creating plots with Matplotlib Line, scatter, and bar charts.mp461.0 MB
  41. 1 -Plotting in Python.ipynb2.0 MB
  42. 1 -london_borough_profiles1.csv20.0 KB
  43. 1 -myPub.csv206 bytes
  44. 1 -sar_data.csv553 bytes
  45. 2 -Advanced visualizations with Seaborn Heatmaps, pair plots, and box plots.mp468.5 MB
  46. 3 - Customizing plots for presentations and reports.html3.3 KB
  47. 3 - Visualizing ML model performance (e.g., confusion matrices, ROC curves).html2.6 KB
  48. 1 -Advanced Machine Learning Techniques for Classifying Synthetic Data.mp446.4 MB
  49. 1 -Comparison of Different ML Classifiers on Synthetic Dataset.url111 bytes
  50. 1 -CNNs_LULC_Classification_EuroSAT_Azad_Rasul.ipynb786.8 KB
  51. 1 -Convolutional neural network (CNN) with PyTorch for image classification.mp4125.2 MB
  52. 2 -Step-by-Step Guide to GPU Setup for Machine Learning & Deep Learning!.url118 bytes
  53. 2 -Using GPUs for faster training.mp4110.1 MB
  54. 1 -Introduction to colab.pdf201.6 KB
  55. 1 -Setting up Google Colab for AIML projects.mp429.1 MB
  56. 1 -Building a Machine Learning Model for Crop Health Analysis.mp475.6 MB
  57. 1 -Crop Health Using RS data and Neural Networks.ipynb67.2 KB
  58. 1 -AQI in India AR.ipynb2.4 MB
  59. 1 -Air Quality Monitoring in India A Python and ML Case Study Part 1.mp481.6 MB
  60. 2 -Air Quality Monitoring in India A Python and ML Case Study Part 2.mp4111.3 MB
  61. 3 -Air Quality Monitoring in India A Python and ML Case Study Part 3.mp4156.2 MB
  62. 4 -Air Quality Monitoring in India A Python and ML Case Study Part 4.mp480.7 MB
  63. data.csv58.3 MB
  64. Dem_Erbil.tif8.6 MB
  65. DrnMppr-DEM-AOI.tif17.1 MB
  66. DrnMppr-DTM-AOI.tif8.6 MB
  67. DrnMppr-ORT-AOI.tif119.6 MB
  68. NDWI_Annual_2014_Dukan.tif16.1 KB
  69. NDWI_Annual_2015_Dukan.tif15.9 KB
  70. NDWI_Annual_2016_Dukan.tif18.3 KB
  71. NDWI_Annual_2017_Dukan.tif15.6 KB
  72. NDWI_Annual_2018_Dukan.tif15.5 KB
  73. NDWI_Annual_2019_Dukan.tif15.7 KB
  74. Erbil_Rain.csv556 bytes
  75. LC08_169035_20210909.tif13.7 MB
  76. aoi.cpg5 bytes
  77. aoi.dbf252 bytes
  78. aoi.prj384 bytes
  79. aoi.shp316 bytes
  80. aoi.shx108 bytes
  81. dem.tif17.1 MB
  82. dtm.tif8.6 MB
  83. ortho.tif119.6 MB
  84. plant_count.cpg5 bytes
  85. plant_count.dbf261 bytes
  86. plant_count.prj384 bytes
  87. plant_count.shp316 bytes
  88. plant_count.shx108 bytes
  89. plots_1.cpg5 bytes
  90. plots_1.dbf5.0 KB
  91. plots_1.prj384 bytes
  92. plots_1.shp24.8 KB
  93. plots_1.shx1.1 KB
  94. plots_2.dbf4.3 KB
  95. plots_2.prj384 bytes
  96. plots_2.shp15.3 KB
  97. plots_2.shx748 bytes
  98. Bonus Resources.txt70 bytes

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