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MehwishSayyed/README.md

πŸ’« About Me:

πŸ‘©β€πŸ’» Computer Science Engineering Student | πŸ’‘ Passionate about Web Development & Python
πŸš€ Building projects in Frontend, Backend, and Arduino Robotics
🌱 Currently learning Backend Development (Python + MySQL)
πŸ’¬ Let’s collaborate on open-source and Hacktoberfest projects!

🌐 Socials:

Bluesky LinkedIn email

πŸ’» Tech Stack:

Python C++ HTML5 JavaScript Express.js EJS NodeJS React MongoDB MySQL Canva Figma NumPy Pandas scikit-learn PyTorch Matplotlib Git Arduino Postman Power Bi

πŸ“Š GitHub Stats:



πŸ” Top Contributed Repo


Popular repositories Loading

  1. Week3--Household-Energy-Consumption-Forecasting-System Week3--Household-Energy-Consumption-Forecasting-System Public

    Energy prediction using the UCI Power Consumption dataset. After data cleaning and feature engineering, Random Forest and XGBoost models were trained. Both achieved over 99% accuracy, with XGBoost …

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  2. website website Public

    A simple website with HTML, CSS and Bootstrap.

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  3. Week1---Household-Energy-Consumption-Forecasting-System Week1---Household-Energy-Consumption-Forecasting-System Public

    Cleaned and processed version of the UCI β€œIndividual Household Electric Power Consumption” dataset β€” ready for analysis and machine learning projects.

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  4. Week2---Household-Energy-Consumption-Forecasting-System Week2---Household-Energy-Consumption-Forecasting-System Public

    Machine Learning project that predicts household electric power consumption using the UCI Individual Household Electric Power Consumption dataset. The dataset was cleaned, preprocessed, and trained…

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    Forked from web-platform-tests/wpt

    Test suites for Web platform specs β€” including WHATWG, W3C, and others

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    Promise based HTTP client for the browser and node.js

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