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This Project is to display my ability to use python in a way to webscrape data, bring it into python to comb/clean the data. Then once put together, I'm able to display that on a panel dashboard that is interactive.
Este aplicativo de base de vendas foi projetado para facilitar a análise de dados de vendas de maneira interativa e intuitiva. Utilizando o Streamlit como base, o app permite que o usuário carregue um arquivo de vendas em formato .txt.
This project analyzes Olympic athlete data from 2008, 2012, and 2016 Summer Olympics, focusing on identifying and understanding outliers in various sports comparing genders based on athletes' physical attributes via using advanced machine learning techniques
The Travelling Salesman Problem (TSP) is a classic optimization problem in which a salesman is required to visit a set of cities exactly once, returning to the starting city, while minimizing the total travel distance or cost.
If you want to work with real-time data in machine learning, then you are in the right place. I have explained the code to prospective beginners and advanced-level learners.
Those with a strong interest in machine learning and data science should use this repository. I have coded step-by-step with machine learning and data science learners.