Skip to content
View toofanCodes's full-sized avatar
🎯
Focusing on one project at a time! or trying to!
🎯
Focusing on one project at a time! or trying to!

Highlights

  • Pro

Block or report toofanCodes

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. predictingStockouts predictingStockouts Public

    An end-to-end machine learning project that predicts automotive parts shortages for a major automotive manufacturing and distribution company. This project showcases data preprocessing, exploratory…

    Jupyter Notebook 1

  2. predictingReadmissions predictingReadmissions Public

    Predicting 30-day hospital readmissions using EHR data. This project includes a full ETL pipeline, feature engineering, and machine learning models built on the UCI Diabetes dataset.

    Python

  3. NaiveBookingsForecaster NaiveBookingsForecaster Public

    A Python pipeline to predict airline final demand using additive & multiplicative models, benchmarked against naive forecasts with MASE. Visualizes forecast accuracy with scatterplots, residuals, a…

    Jupyter Notebook

  4. JobAppsMailTracker JobAppsMailTracker Public

    AI-powered job application tracker. Extracts job details from Gmail using Gemini AI and organizes everything in Google Sheets. Built for job seekers who prefer automation over manual tracking. 🎯 #V…

    Python

  5. CaliWageAnalytics CaliWageAnalytics Public

    Wage analytics - modeling and visualizing the effect of demographics, education, and occupation on wage outcomes in California.

    R

  6. predictingCustomerChoices predictingCustomerChoices Public

    Predicting customer choices in MAR(multiple airport region) using Machine Learning

    Jupyter Notebook