Here you can find Generic Python codes in the field of Data Science. You can watch the repositories by their topics:
Repository | Machine & Deep Learning | Algorithms | Geometry & GIS | Visualization | Projects |
---|---|---|---|---|---|
Conv-AutoEncoder | ๐ฎ | ๐ | ๐ | ||
Mountaintops-DL | ๐ฎ | ๐ | ๐ | ||
Silhouette-Clustering | ๐ฎ | ||||
Graph-Feature-Propagation | ๐ฎ | โ๏ธ | ๐ | ||
Cumulative-Heatmap | โ๏ธ | ๐ | ๐ | ||
Recursive-HeatMap | โ๏ธ | ๐ | ๐ | ||
Kmeans-Simulator | ๐ฎ | โ๏ธ | ๐ | ||
My-Convex-Hull | โ๏ธ | ๐ | ๐ | ||
Poly-Regression | ๐ฎ | โ๏ธ | ๐ | ||
Linear-SGD | ๐ฎ | โ๏ธ | ๐ | ||
Histo-Regression | ๐ฎ | โ๏ธ | |||
Wikipedia-BFS-crawler | โ๏ธ | ๐ | |||
Sector-Geometry | ๐ | ||||
Github-Calendar | ๐ | ๐ | |||
Convex-HDBSCAN | ๐ฎ | ๐ | |||
Fire-Kites-Analysis | ๐ฎ | ๐ | ๐ | ๐ | |
3D GIFs | ๐ | ||||
Multiple-Densities | ๐ | ||||
Histogram Calculation | ๐ |
Each repository includes:
- The python code that developed as part of the project
- Implementation python file which demonstrates the use of the code
- Readme file that details exactly how it works (including visualization, explanations & math equations)
- Examples of importing and using the code
- Examples file to apply the code on them, as well as outputs files
- Descreption of required python libraries
- MIT using license