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This program analyzes a Twitch dataset and predicts the amount of hours watched on Twitch and analyzes how average viewers, number of streamers, game title, and other independent variables impact hours watched. Conducted regression analysis on dataset and used r-sqaured, RMSE, and MAE to measure performance.
Simple Anime Recommendation system based on user input of anime category. Used Anime Recommendations Database from Kaggle used as main dataset and built recommendation system using Scikit-learn.
I made software that extracts the RGB Color Histogram values from the image. Those RGB values are leading and worldwide used by designers, artists, professionals, developers, scientists, and color-blinds.
This repository houses a collection of Python model files designed to address various computational and data-related tasks. These models are crafted to provide solutions to specific problems, making them valuable tools for developers, data scientists, and researchers alike.
Spam email prediction is the process of identifying and classifying unwanted email messages as spam. The goal is to develop a model that can accurately identify spam emails.
I love this Repository!!! Being my favorite one I usually visit this repository and looks at vizzes inside with admiration. With the process of practicing and thinking innovatively I could make some interesting charts, graphs and visualizations which are originally not present in Tableau but designed by me only. Please have a look at it.