Udemy Python for AI and Machine Learning From Beginner to Pro
Seeders : 63 Leechers : 0
| Torrent Hash : | 2363DAA61D7A0670E1BC7D53C8CA621CB7E2FEED |
| Torrent Added : | at Aug. 14, 2025, 9:21 a.m. in Other |
| Torrent Size : | 2.3 GB |
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Udemy Python for AI and Machine Learning From Beginner to Pro
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Udemy Python for AI and Machine Learning From Beginner to Pro
Get Bonus Downloads Here.url -
1 -Welcome and course overview.mp4 -
2 -What is Artificial Intelligence.mp4 -
3 -What is Machine Learning.mp4 -
4 -Why Python is the Top Choice for AI & Machine Learning.mp4 -
5 -3.pdf -
5 -Install Python through Miniconda.url -
5 -Setting up Python.mp4 -
6 -Create environments and install packages.url -
6 -Setting up your Python environment for AIML.mp4 -
7 -Install and Run Jupyter notebook.txt -
7 -Installing and Running Jupyter Notebook.mp4 -
1 -Detecting and Counting Plants Using Computer Vision Techniques.ipynb -
1 -Detecting and Counting Plants Using Computer Vision Techniques.mp4 -
1 -Comprehensive Guide to Machine Learning, and Data Processing, Part 1.mp4 -
1 -Geospatial_analysis_project_organised_new 29_7_2024.ipynb -
2 -Comprehensive Guide to Machine Learning, and Data Processing, Part 2.mp4 -
3 -Comprehensive Guide to Machine Learning, and Data Processing, Part 3.mp4 -
4 -Comprehensive Guide to Machine Learning, and Data Processing, Part 4.mp4 -
5 -Comprehensive Guide to Machine Learning, and Data Processing, Part 5.mp4 -
1 - Further Reading and Tutorials.html -
1 -Python basics Variables, data types, and operators.mp4 -
1 -Types of data in Python.ipynb -
2 -Control Flow in Python.ipynb -
2 -Control flow If statements, loops, and exceptions.mp4 -
3 -Functions in Python.mp4 -
3 -Functions.url -
3 -Functions_in_Python.ipybn -
4 -Modules in Python.ipynb -
4 -Modules in Python.mp4 -
4 -Modules in Python.url -
5 -Working with lists, dictionaries, and sets for data processing.mp4 -
1 -Introduction to NumPy for numerical computing.mp4 -
1 -NumPy+Python+for+Researchers.ipynb -
2 -File Handling in Python.mp4 -
2 -File handling in Python.md -
3 -Directory+and+path.ipynb -
3 -Managing Directories in Python.mp4 -
4 - Data manipulation with Pandas DataFrames, filtering, and merging.html -
1 -Creating plots with Matplotlib Line, scatter, and bar charts.mp4 -
1 -Plotting in Python.ipynb -
1 -london_borough_profiles1.csv -
1 -myPub.csv -
1 -sar_data.csv -
2 -Advanced visualizations with Seaborn Heatmaps, pair plots, and box plots.mp4 -
3 - Customizing plots for presentations and reports.html -
3 - Visualizing ML model performance (e.g., confusion matrices, ROC curves).html -
1 -Advanced Machine Learning Techniques for Classifying Synthetic Data.mp4 -
1 -Comparison of Different ML Classifiers on Synthetic Dataset.url -
1 -CNNs_LULC_Classification_EuroSAT_Azad_Rasul.ipynb -
1 -Convolutional neural network (CNN) with PyTorch for image classification.mp4 -
2 -Step-by-Step Guide to GPU Setup for Machine Learning & Deep Learning!.url -
2 -Using GPUs for faster training.mp4 -
1 -Introduction to colab.pdf -
1 -Setting up Google Colab for AIML projects.mp4 -
1 -Building a Machine Learning Model for Crop Health Analysis.mp4 -
1 -Crop Health Using RS data and Neural Networks.ipynb -
1 -AQI in India AR.ipynb -
1 -Air Quality Monitoring in India A Python and ML Case Study Part 1.mp4 -
2 -Air Quality Monitoring in India A Python and ML Case Study Part 2.mp4 -
3 -Air Quality Monitoring in India A Python and ML Case Study Part 3.mp4 -
4 -Air Quality Monitoring in India A Python and ML Case Study Part 4.mp4 -
data.csv -
Dem_Erbil.tif -
DrnMppr-DEM-AOI.tif -
DrnMppr-DTM-AOI.tif -
DrnMppr-ORT-AOI.tif -
NDWI_Annual_2014_Dukan.tif -
NDWI_Annual_2015_Dukan.tif -
NDWI_Annual_2016_Dukan.tif -
NDWI_Annual_2017_Dukan.tif -
NDWI_Annual_2018_Dukan.tif -
NDWI_Annual_2019_Dukan.tif -
Erbil_Rain.csv -
LC08_169035_20210909.tif -
aoi.cpg -
aoi.dbf -
aoi.prj -
aoi.shp -
aoi.shx -
dem.tif -
dtm.tif -
ortho.tif -
plant_count.cpg -
plant_count.dbf -
plant_count.prj -
plant_count.shp -
plant_count.shx -
plots_1.cpg -
plots_1.dbf -
plots_1.prj -
plots_1.shp -
plots_1.shx -
plots_2.dbf -
plots_2.prj -
plots_2.shp -
plots_2.shx -
Bonus Resources.txt -
Please login or create a FREE account to post comments
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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