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AnxiousCodeGeek/README.md

Welcome to AnxiousCodeGeek's GitHub! 🚀

Hey! 👋 This is Fatima, the AnxiousCodeGeek, I'm a passionate learner in the vast world of coding. I am also a Data enthusiast diving into and exploring the world of data. I am also a web designer and developer. I am eager to connect with fellow coders, share experiences, and embark on this coding journey together! 🐍✨

Connect with me

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Toolkit 🧰

Happy Coding! 🚀✨ Thanks for stopping by. Let's code, learn, and build awesome things together! 🌟

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  1. Heart-attack-data-EDA Heart-attack-data-EDA Public

    We have explored the previously cleaned data by plotting pie charts, box plots, histograms, scatter plots and finally heatmap using the given attributes.

    Jupyter Notebook

  2. .mp4-sounds-to-.wav-conversion .mp4-sounds-to-.wav-conversion Public

    The code helps convert audio sounds in .mp4 format to .wav format. I know .mp4 format audio, sounds hard to believe but i encountered a case in my project and was able to code for the conversion.

    Python

  3. Shopifystore_colorSwatch Shopifystore_colorSwatch Public

    The color swatch on product page appears with box border instead of circular , I have tried to fix this issue.

    Ruby

  4. heartAttack-RandomForestModel heartAttack-RandomForestModel Public

    This repository contains a project for predicting heart attacks using a dataset of patient information. The project includes data preprocessing, feature engineering, model training using Random For…

    Jupyter Notebook

  5. Audio-format-conversion-and-segementation Audio-format-conversion-and-segementation Public

    The code pydub and ffmpeg for audio conversion from .m4a format to .wav format. This code file is part of a project. Remove the 'r' in filepath or directory code line if you are working on linux.

    Jupyter Notebook

  6. heartAttack-modelEvaluation heartAttack-modelEvaluation Public

    Performed model evaluation using evaluation metrics such as accuracy, precision, recall, F1-score etc. Then model interpretation using feature importance, SHAP and LIME. Finally , evaluated model r…

    Jupyter Notebook