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1337x- Downloads
- 4520
- Type
- Tutorials
- Language
- English
- Category
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- Size
- 2.3 GB
- Added
- 2025-08-14 09:21 (1 year, 2 months ago)
- Peers
- 5 seeders, 0 leechers (checked 1 day, 17 hours ago)
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- Get Bonus Downloads Here.url180 bytes
- 1 -Welcome and course overview.mp470.3 MB
- 2 -What is Artificial Intelligence.mp431.6 MB
- 3 -What is Machine Learning.mp449.9 MB
- 4 -Why Python is the Top Choice for AI & Machine Learning.mp420.6 MB
- 5 -3.pdf1.3 MB
- 5 -Install Python through Miniconda.url86 bytes
- 5 -Setting up Python.mp416.9 MB
- 6 -Create environments and install packages.url94 bytes
- 6 -Setting up your Python environment for AIML.mp436.2 MB
- 7 -Install and Run Jupyter notebook.txt1.7 KB
- 7 -Installing and Running Jupyter Notebook.mp424.3 MB
- 1 -Detecting and Counting Plants Using Computer Vision Techniques.ipynb1.3 MB
- 1 -Detecting and Counting Plants Using Computer Vision Techniques.mp499.3 MB
- 1 -Comprehensive Guide to Machine Learning, and Data Processing, Part 1.mp4104.2 MB
- 1 -Geospatial_analysis_project_organised_new 29_7_2024.ipynb249.6 KB
- 2 -Comprehensive Guide to Machine Learning, and Data Processing, Part 2.mp4116.2 MB
- 3 -Comprehensive Guide to Machine Learning, and Data Processing, Part 3.mp483.7 MB
- 4 -Comprehensive Guide to Machine Learning, and Data Processing, Part 4.mp475.7 MB
- 5 -Comprehensive Guide to Machine Learning, and Data Processing, Part 5.mp452.4 MB
- 1 - Further Reading and Tutorials.html4.0 KB
- 1 -Python basics Variables, data types, and operators.mp417.0 MB
- 1 -Types of data in Python.ipynb7.2 KB
- 2 -Control Flow in Python.ipynb3.2 KB
- 2 -Control flow If statements, loops, and exceptions.mp48.2 MB
- 3 -Functions in Python.mp415.1 MB
- 3 -Functions.url63 bytes
- 3 -Functions_in_Python.ipybn418 bytes
- 4 -Modules in Python.ipynb2.3 KB
- 4 -Modules in Python.mp416.9 MB
- 4 -Modules in Python.url71 bytes
- 5 -Working with lists, dictionaries, and sets for data processing.mp461.1 MB
- 1 -Introduction to NumPy for numerical computing.mp482.0 MB
- 1 -NumPy+Python+for+Researchers.ipynb22.7 KB
- 2 -File Handling in Python.mp425.2 MB
- 2 -File handling in Python.md1.9 KB
- 3 -Directory+and+path.ipynb14.4 KB
- 3 -Managing Directories in Python.mp421.9 MB
- 4 - Data manipulation with Pandas DataFrames, filtering, and merging.html1.9 KB
- 1 -Creating plots with Matplotlib Line, scatter, and bar charts.mp461.0 MB
- 1 -Plotting in Python.ipynb2.0 MB
- 1 -london_borough_profiles1.csv20.0 KB
- 1 -myPub.csv206 bytes
- 1 -sar_data.csv553 bytes
- 2 -Advanced visualizations with Seaborn Heatmaps, pair plots, and box plots.mp468.5 MB
- 3 - Customizing plots for presentations and reports.html3.3 KB
- 3 - Visualizing ML model performance (e.g., confusion matrices, ROC curves).html2.6 KB
- 1 -Advanced Machine Learning Techniques for Classifying Synthetic Data.mp446.4 MB
- 1 -Comparison of Different ML Classifiers on Synthetic Dataset.url111 bytes
- 1 -CNNs_LULC_Classification_EuroSAT_Azad_Rasul.ipynb786.8 KB
- 1 -Convolutional neural network (CNN) with PyTorch for image classification.mp4125.2 MB
- 2 -Step-by-Step Guide to GPU Setup for Machine Learning & Deep Learning!.url118 bytes
- 2 -Using GPUs for faster training.mp4110.1 MB
- 1 -Introduction to colab.pdf201.6 KB
- 1 -Setting up Google Colab for AIML projects.mp429.1 MB
- 1 -Building a Machine Learning Model for Crop Health Analysis.mp475.6 MB
- 1 -Crop Health Using RS data and Neural Networks.ipynb67.2 KB
- 1 -AQI in India AR.ipynb2.4 MB
- 1 -Air Quality Monitoring in India A Python and ML Case Study Part 1.mp481.6 MB
- 2 -Air Quality Monitoring in India A Python and ML Case Study Part 2.mp4111.3 MB
- 3 -Air Quality Monitoring in India A Python and ML Case Study Part 3.mp4156.2 MB
- 4 -Air Quality Monitoring in India A Python and ML Case Study Part 4.mp480.7 MB
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- NDWI_Annual_2015_Dukan.tif15.9 KB
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- NDWI_Annual_2017_Dukan.tif15.6 KB
- NDWI_Annual_2018_Dukan.tif15.5 KB
- NDWI_Annual_2019_Dukan.tif15.7 KB
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- plots_2.prj384 bytes
- plots_2.shp15.3 KB
- plots_2.shx748 bytes
- Bonus Resources.txt70 bytes
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