Udemy Python for AI and Machine Learning From Beginner to Pro
Torrent Info
| Category | Other |
| Added | Thursday 14th August 2025 09:21:56 AM (1 year ago) |
| Size | 2.3 GB |
| Peers | 5 Peers (5 Seeders and 0 leechers) update |
| Downloaded | 4520 times |
| Uploader | freecoursewb Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 5 |
| Leechers | 0 |
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There are no images posted for this torrent.
NFO
No NFO was added for this torrent.
| Filename | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 1 -Welcome and course overview.mp4 | 70.3 MB |
| 2 -What is Artificial Intelligence.mp4 | 31.6 MB |
| 3 -What is Machine Learning.mp4 | 49.9 MB |
| 4 -Why Python is the Top Choice for AI & Machine Learning.mp4 | 20.6 MB |
| 5 -3.pdf | 1.3 MB |
| 5 -Install Python through Miniconda.url | 86 bytes |
| 5 -Setting up Python.mp4 | 16.9 MB |
| 6 -Create environments and install packages.url | 94 bytes |
| 6 -Setting up your Python environment for AIML.mp4 | 36.2 MB |
| 7 -Install and Run Jupyter notebook.txt | 1.7 KB |
| 7 -Installing and Running Jupyter Notebook.mp4 | 24.3 MB |
| 1 -Detecting and Counting Plants Using Computer Vision Techniques.ipynb | 1.3 MB |
| 1 -Detecting and Counting Plants Using Computer Vision Techniques.mp4 | 99.3 MB |
| 1 -Comprehensive Guide to Machine Learning, and Data Processing, Part 1.mp4 | 104.2 MB |
| 1 -Geospatial_analysis_project_organised_new 29_7_2024.ipynb | 249.6 KB |
| 2 -Comprehensive Guide to Machine Learning, and Data Processing, Part 2.mp4 | 116.2 MB |
| 3 -Comprehensive Guide to Machine Learning, and Data Processing, Part 3.mp4 | 83.7 MB |
| 4 -Comprehensive Guide to Machine Learning, and Data Processing, Part 4.mp4 | 75.7 MB |
| 5 -Comprehensive Guide to Machine Learning, and Data Processing, Part 5.mp4 | 52.4 MB |
| 1 - Further Reading and Tutorials.html | 4.0 KB |
| 1 -Python basics Variables, data types, and operators.mp4 | 17.0 MB |
| 1 -Types of data in Python.ipynb | 7.2 KB |
| 2 -Control Flow in Python.ipynb | 3.2 KB |
| 2 -Control flow If statements, loops, and exceptions.mp4 | 8.2 MB |
| 3 -Functions in Python.mp4 | 15.1 MB |
| 3 -Functions.url | 63 bytes |
| 3 -Functions_in_Python.ipybn | 418 bytes |
| 4 -Modules in Python.ipynb | 2.3 KB |
| 4 -Modules in Python.mp4 | 16.9 MB |
| 4 -Modules in Python.url | 71 bytes |
| 5 -Working with lists, dictionaries, and sets for data processing.mp4 | 61.1 MB |
| 1 -Introduction to NumPy for numerical computing.mp4 | 82.0 MB |
| 1 -NumPy+Python+for+Researchers.ipynb | 22.7 KB |
| 2 -File Handling in Python.mp4 | 25.2 MB |
| 2 -File handling in Python.md | 1.9 KB |
| 3 -Directory+and+path.ipynb | 14.4 KB |
| 3 -Managing Directories in Python.mp4 | 21.9 MB |
| 4 - Data manipulation with Pandas DataFrames, filtering, and merging.html | 1.9 KB |
| 1 -Creating plots with Matplotlib Line, scatter, and bar charts.mp4 | 61.0 MB |
| 1 -Plotting in Python.ipynb | 2.0 MB |
| 1 -london_borough_profiles1.csv | 20.0 KB |
| 1 -myPub.csv | 206 bytes |
| 1 -sar_data.csv | 553 bytes |
| 2 -Advanced visualizations with Seaborn Heatmaps, pair plots, and box plots.mp4 | 68.5 MB |
| 3 - Customizing plots for presentations and reports.html | 3.3 KB |
| 3 - Visualizing ML model performance (e.g., confusion matrices, ROC curves).html | 2.6 KB |
| 1 -Advanced Machine Learning Techniques for Classifying Synthetic Data.mp4 | 46.4 MB |
| 1 -Comparison of Different ML Classifiers on Synthetic Dataset.url | 111 bytes |
| 1 -CNNs_LULC_Classification_EuroSAT_Azad_Rasul.ipynb | 786.8 KB |
| 1 -Convolutional neural network (CNN) with PyTorch for image classification.mp4 | 125.2 MB |
| 2 -Step-by-Step Guide to GPU Setup for Machine Learning & Deep Learning!.url | 118 bytes |
| 2 -Using GPUs for faster training.mp4 | 110.1 MB |
| 1 -Introduction to colab.pdf | 201.6 KB |
| 1 -Setting up Google Colab for AIML projects.mp4 | 29.1 MB |
| 1 -Building a Machine Learning Model for Crop Health Analysis.mp4 | 75.6 MB |
| 1 -Crop Health Using RS data and Neural Networks.ipynb | 67.2 KB |
| 1 -AQI in India AR.ipynb | 2.4 MB |
| 1 -Air Quality Monitoring in India A Python and ML Case Study Part 1.mp4 | 81.6 MB |
| 2 -Air Quality Monitoring in India A Python and ML Case Study Part 2.mp4 | 111.3 MB |
| 3 -Air Quality Monitoring in India A Python and ML Case Study Part 3.mp4 | 156.2 MB |
| 4 -Air Quality Monitoring in India A Python and ML Case Study Part 4.mp4 | 80.7 MB |
| data.csv | 58.3 MB |
| Dem_Erbil.tif | 8.6 MB |
| DrnMppr-DEM-AOI.tif | 17.1 MB |
| DrnMppr-DTM-AOI.tif | 8.6 MB |
| DrnMppr-ORT-AOI.tif | 119.6 MB |
| NDWI_Annual_2014_Dukan.tif | 16.1 KB |
| NDWI_Annual_2015_Dukan.tif | 15.9 KB |
| NDWI_Annual_2016_Dukan.tif | 18.3 KB |
| NDWI_Annual_2017_Dukan.tif | 15.6 KB |
| NDWI_Annual_2018_Dukan.tif | 15.5 KB |
| NDWI_Annual_2019_Dukan.tif | 15.7 KB |
| Erbil_Rain.csv | 556 bytes |
| LC08_169035_20210909.tif | 13.7 MB |
| aoi.cpg | 5 bytes |
| aoi.dbf | 252 bytes |
| aoi.prj | 384 bytes |
| aoi.shp | 316 bytes |
| aoi.shx | 108 bytes |
| dem.tif | 17.1 MB |
| dtm.tif | 8.6 MB |
| ortho.tif | 119.6 MB |
| plant_count.cpg | 5 bytes |
| plant_count.dbf | 261 bytes |
| plant_count.prj | 384 bytes |
| plant_count.shp | 316 bytes |
| plant_count.shx | 108 bytes |
| plots_1.cpg | 5 bytes |
| plots_1.dbf | 5.0 KB |
| plots_1.prj | 384 bytes |
| plots_1.shp | 24.8 KB |
| plots_1.shx | 1.1 KB |
| plots_2.dbf | 4.3 KB |
| plots_2.prj | 384 bytes |
| plots_2.shp | 15.3 KB |
| plots_2.shx | 748 bytes |
| Bonus Resources.txt | 70 bytes |
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