|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| 1 -Advanced Machine Learning Techniques for Classifying Synthetic Data.mp4 |
46.40MB |
| 1 -Air Quality Monitoring in India A Python and ML Case Study Part 1.mp4 |
81.56MB |
| 1 -AQI in India AR.ipynb |
2.37MB |
| 1 -Building a Machine Learning Model for Crop Health Analysis.mp4 |
75.63MB |
| 1 -CNNs_LULC_Classification_EuroSAT_Azad_Rasul.ipynb |
786.81KB |
| 1 -Comparison of Different ML Classifiers on Synthetic Dataset.url |
111B |
| 1 -Comprehensive Guide to Machine Learning, and Data Processing, Part 1.mp4 |
104.18MB |
| 1 -Convolutional neural network (CNN) with PyTorch for image classification.mp4 |
125.18MB |
| 1 -Creating plots with Matplotlib Line, scatter, and bar charts.mp4 |
61.03MB |
| 1 -Crop Health Using RS data and Neural Networks.ipynb |
67.24KB |
| 1 -Detecting and Counting Plants Using Computer Vision Techniques.ipynb |
1.26MB |
| 1 -Detecting and Counting Plants Using Computer Vision Techniques.mp4 |
99.31MB |
| 1 - Further Reading and Tutorials.html |
3.99KB |
| 1 -Geospatial_analysis_project_organised_new 29_7_2024.ipynb |
249.58KB |
| 1 -Introduction to colab.pdf |
201.57KB |
| 1 -Introduction to NumPy for numerical computing.mp4 |
81.98MB |
| 1 -london_borough_profiles1.csv |
19.96KB |
| 1 -myPub.csv |
206B |
| 1 -NumPy+Python+for+Researchers.ipynb |
22.75KB |
| 1 -Plotting in Python.ipynb |
2.03MB |
| 1 -Python basics Variables, data types, and operators.mp4 |
16.96MB |
| 1 -sar_data.csv |
553B |
| 1 -Setting up Google Colab for AIML projects.mp4 |
29.11MB |
| 1 -Types of data in Python.ipynb |
7.19KB |
| 1 -Welcome and course overview.mp4 |
70.32MB |
| 2 -Advanced visualizations with Seaborn Heatmaps, pair plots, and box plots.mp4 |
68.54MB |
| 2 -Air Quality Monitoring in India A Python and ML Case Study Part 2.mp4 |
111.27MB |
| 2 -Comprehensive Guide to Machine Learning, and Data Processing, Part 2.mp4 |
116.16MB |
| 2 -Control flow If statements, loops, and exceptions.mp4 |
8.22MB |
| 2 -Control Flow in Python.ipynb |
3.24KB |
| 2 -File handling in Python.md |
1.90KB |
| 2 -File Handling in Python.mp4 |
25.18MB |
| 2 -Step-by-Step Guide to GPU Setup for Machine Learning & Deep Learning!.url |
118B |
| 2 -Using GPUs for faster training.mp4 |
110.10MB |
| 2 -What is Artificial Intelligence.mp4 |
31.61MB |
| 3 -Air Quality Monitoring in India A Python and ML Case Study Part 3.mp4 |
156.17MB |
| 3 -Comprehensive Guide to Machine Learning, and Data Processing, Part 3.mp4 |
83.70MB |
| 3 - Customizing plots for presentations and reports.html |
3.25KB |
| 3 -Directory+and+path.ipynb |
14.39KB |
| 3 -Functions_in_Python.ipybn |
418B |
| 3 -Functions.url |
63B |
| 3 -Functions in Python.mp4 |
15.12MB |
| 3 -Managing Directories in Python.mp4 |
21.92MB |
| 3 - Visualizing ML model performance (e.g., confusion matrices, ROC curves).html |
2.58KB |
| 3 -What is Machine Learning.mp4 |
49.91MB |
| 4 -Air Quality Monitoring in India A Python and ML Case Study Part 4.mp4 |
80.70MB |
| 4 -Comprehensive Guide to Machine Learning, and Data Processing, Part 4.mp4 |
75.66MB |
| 4 - Data manipulation with Pandas DataFrames, filtering, and merging.html |
1.91KB |
| 4 -Modules in Python.ipynb |
2.29KB |
| 4 -Modules in Python.mp4 |
16.95MB |
| 4 -Modules in Python.url |
71B |
| 4 -Why Python is the Top Choice for AI & Machine Learning.mp4 |
20.61MB |
| 5 -3.pdf |
1.27MB |
| 5 -Comprehensive Guide to Machine Learning, and Data Processing, Part 5.mp4 |
52.42MB |
| 5 -Install Python through Miniconda.url |
86B |
| 5 -Setting up Python.mp4 |
16.95MB |
| 5 -Working with lists, dictionaries, and sets for data processing.mp4 |
61.05MB |
| 6 -Create environments and install packages.url |
94B |
| 6 -Setting up your Python environment for AIML.mp4 |
36.19MB |
| 7 -Install and Run Jupyter notebook.txt |
1.74KB |
| 7 -Installing and Running Jupyter Notebook.mp4 |
24.26MB |
| aoi.cpg |
5B |
| aoi.dbf |
252B |
| aoi.prj |
384B |
| aoi.shp |
316B |
| aoi.shx |
108B |
| Bonus Resources.txt |
70B |
| data.csv |
58.35MB |
| Dem_Erbil.tif |
8.64MB |
| dem.tif |
17.11MB |
| DrnMppr-DEM-AOI.tif |
17.11MB |
| DrnMppr-DTM-AOI.tif |
8.56MB |
| DrnMppr-ORT-AOI.tif |
119.61MB |
| dtm.tif |
8.56MB |
| Erbil_Rain.csv |
556B |
| Get Bonus Downloads Here.url |
180B |
| LC08_169035_20210909.tif |
13.75MB |
| NDWI_Annual_2014_Dukan.tif |
16.06KB |
| NDWI_Annual_2015_Dukan.tif |
15.93KB |
| NDWI_Annual_2016_Dukan.tif |
18.33KB |
| NDWI_Annual_2017_Dukan.tif |
15.56KB |
| NDWI_Annual_2018_Dukan.tif |
15.54KB |
| NDWI_Annual_2019_Dukan.tif |
15.72KB |
| ortho.tif |
119.61MB |
| plant_count.cpg |
5B |
| plant_count.dbf |
261B |
| plant_count.prj |
384B |
| plant_count.shp |
316B |
| plant_count.shx |
108B |
| plots_1.cpg |
5B |
| plots_1.dbf |
5.03KB |
| plots_1.prj |
384B |
| plots_1.shp |
24.85KB |
| plots_1.shx |
1.13KB |
| plots_2.dbf |
4.32KB |
| plots_2.prj |
384B |
| plots_2.shp |
15.29KB |
| plots_2.shx |
748B |