Udemy - Python for AI and Machine Learning - From Beginner to Pro

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 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 (0.1 KB)
• 5 -Setting up Python.mp4 (16.9 MB)
• 6 -Create environments and install packages.url (0.1 KB)
• 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)
10 - Capstone Project 3 Counting Plants Using Computer Vision Techniques
• 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)
11 - Capstoe Project 4 Comprehensive Guide to Machine Learning, and Data Processing
• 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)
12 - Further Reading and Tutorials
• 1 - Further Reading and Tutorials.html (4.0 KB)
2 - Python Programming Fundamentals
• 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 (0.1 KB)
• 3 -Functions_in_Python.ipybn (0.4 KB)
• 4 -Modules in Python.ipynb (2.3 KB)
• 4 -Modules in Python.mp4 (16.9 MB)
• 4 -Modules in Python.url (0.1 KB)
• 5 -Working with lists, dictionaries, and sets for data processing.mp4 (61.1 MB)
3 - Data Handling with Pandas and NumPy
• 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)
4 - Data Visualization with Matplotlib and Seaborn
• 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 (0.2 KB)
• 1 -sar_data.csv (0.5 KB)
• 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)
5 - Introduction to Machine Learning with Scikit-Learn
• 1 -Advanced Machine Learning Techniques for Classifying Synthetic Data.mp4 (46.4 MB)
• 1 -Comparison of Different ML Classifiers on Synthetic Dataset.url (0.1 KB)
6 - Deep Learning with TensorFlow and PyTorch
• 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 (0.1 KB)
• 2 -Using GPUs for faster training.mp4 (110.1 MB)
7 - Cloud-Based AI with Google Colab
• 1 -Introduction to colab.pdf (201.6 KB)
• 1 -Setting up Google Colab for AIML projects.mp4 (29.1 MB)
8 - Capstone Project 1 Crop Health Prediction
• 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)
9 - Capstone Project 2 Air Quality Monitoring
• 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)
data DEM
• 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
• 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)
Rain_Data
• Erbil_Rain.csv (0.5 KB)
Satellite_Images
• LC08_169035_20210909.tif (13.7 MB)
• aoi.cpg (0.0 KB)
• aoi.dbf (0.2 KB)
• aoi.prj (0.4 KB)
• aoi.shp (0.3 KB)
• aoi.shx (0.1 KB)
• dem.tif (17.1 MB)
• dtm.tif (8.6 MB)
• ortho.tif (119.6 MB)
• plant_count.cpg (0.0 KB)
• plant_count.dbf (0.3 KB)
• plant_count.prj (0.4 KB)
• plant_count.shp (0.3 KB)
• plant_count.shx (0.1 KB)
• plots_1.cpg (0.0 KB)
• plots_1.dbf (5.0 KB)
• plots_1.prj (0.4 KB)
• plots_1.shp (24.8 KB)
• plots_1.shx (1.1 KB)
• plots_2.dbf (4.3 KB)
• plots_2.prj (0.4 KB)
• plots_2.shp (15.3 KB)
• plots_2.shx (0.7 KB)
• Bonus Resources.txt (0.1 KB)