Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Code Sleep Python | 391 | 2 years ago | 5 | mit | Python | |||||
Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake: | ||||||||||
Facebook Data Analyzer | 65 | 5 years ago | mit | Python | ||||||
📊Python script to analyze the contents of your Facebook data export | ||||||||||
Social Data | 50 | a year ago | 6 | mit | Python | |||||
Code and data for eviction and housing analysis in the US | ||||||||||
Python Data Visualization | 30 | 6 months ago | gpl-3.0 | Jupyter Notebook | ||||||
Curated Python Notebooks for Data Visualization | ||||||||||
Pydv | 12 | 9 months ago | 65 | other | Python | |||||
PyDV: Python Data Visualizer | ||||||||||
Webscrapping | 9 | 6 years ago | Python | |||||||
Web Scraping using Python Data mining , Data Analyzing & Data Visualization of the collected Data, The python script is written to fetch all the individual categories the website , The code is written for fetching the data from the first page and it iterates to each and every pages of website ( activities, categories, count of bought), and I used statistical techniques for mathematically analysis and presenting the data into visualization | ||||||||||
Todoist_export | 8 | 5 years ago | 1 | Python | ||||||
Python 3 Script to Export Current Tasks, Completed Past Tasks and a List of Projects | ||||||||||
Top Machine Learning Algorithms Python | 5 | 10 months ago | mit | Jupyter Notebook | ||||||
This Repository contains the Machine Learning Algorithms with Mathematical Explanation behind them along with Implementation in Python. | ||||||||||
Deepmad | 5 | a year ago | 1 | gpl-2.0 | Python | |||||
Malicious Activity Detection System. Final Year Project. Deep Learning-based solution, which analyses Network Activity sequences to classify whether the certain node is Malicious or Benign. Devising a tool/software which will detect malicious Network Activity Detection using Deep Learning Model. Tools: Python, Neural Network (BERT), Google Colaboratory, PyTorch, Kaggle, Tensorflow, and Flowmeter, |