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github-commits-crawling's Introduction

Hi, I'm Etzion!

Welcome to my Github-Portfolio

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 ๐Ÿ”ฎ ๐Ÿ“Š ๐Ÿš€
Mountaintops-DL ๐Ÿ”ฎ ๐ŸŒ ๐Ÿš€
Silhouette-Clustering ๐Ÿ”ฎ
Graph-Feature-Propagation ๐Ÿ”ฎ โš™๏ธ ๐Ÿ“Š
Cumulative-Heatmap โš™๏ธ ๐ŸŒ ๐Ÿ“Š
Recursive-HeatMap โš™๏ธ ๐ŸŒ ๐Ÿ“Š
Kmeans-Simulator ๐Ÿ”ฎ โš™๏ธ ๐Ÿ“Š
My-Convex-Hull โš™๏ธ ๐ŸŒ ๐Ÿ“Š
Poly-Regression ๐Ÿ”ฎ โš™๏ธ ๐Ÿ“Š
Linear-SGD ๐Ÿ”ฎ โš™๏ธ ๐Ÿ“Š
Histo-Regression ๐Ÿ”ฎ โš™๏ธ
Wikipedia-BFS-crawler โš™๏ธ ๐Ÿš€
Sector-Geometry ๐ŸŒ
Github-Calendar ๐Ÿ“Š ๐Ÿš€
Convex-HDBSCAN ๐Ÿ”ฎ ๐ŸŒ
Fire-Kites-Analysis ๐Ÿ”ฎ ๐ŸŒ ๐Ÿ“Š ๐Ÿš€
3D GIFs ๐Ÿ“Š
Multiple-Densities ๐Ÿ“Š
Histogram Calculation ๐Ÿ“Š

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

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