Skip to content
View suryamr2002's full-sized avatar
2 followers · 2 following

Achievements

Achievement: Quickdraw

Achievements

Achievement: Quickdraw

Block or report suryamr2002

Report abuse

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

Report abuse
suryamr2002/README.md
Top languages

Areas of Interest:

  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • Deep Learning

Collaboration 💻

I am always eager to collaborate with developers globally and contribute to exciting projects. If you have any ideas or projects that you think I might be interested in, please do not hesitate to reach out.

If you have any questions, feel free to reach out to me at suryamrsp.class1@gmail.com.

Programming gif

Pinned Loading

  1. Customer-ChurnPrediction Customer-ChurnPrediction Public

    This repository contains a complete machine learning model to predict customer churn using XGBoost. It includes data preprocessing, feature engineering, hyperparameter tuning, model evaluation, and…

    Jupyter Notebook

  2. Marketing-Campaign-A-B-Testing Marketing-Campaign-A-B-Testing Public

    This project performs an end-to-end A/B testing analysis on a marketing campaign dataset to evaluate the effectiveness of personalization strategies. Using Python and statistical methods, it compar…

    Jupyter Notebook

  3. Covid19R-studio Covid19R-studio Public

    Files with the realtime API covid 19 data for analysis and visualization. It works with Realtime-Api for data ingestion. So when running -> refersh the code once and run . Fist run "covid-world.R "…

    R 2

  4. Heart_disease_Prediction Heart_disease_Prediction Public

    Forked from HariHaraChandar0715/Heart_disease_Prediction

    Team project for Project Presentation . Predict heart-disease using various parameteres . Using dataset to predict the disease using Machine-Learning algorithms and choosing the most optimized one …

    Jupyter Notebook

  5. BigMart-Sales-Forecasting BigMart-Sales-Forecasting Public

    Using sales history of company to analyze the sales performance based on various criteria's. Predicting the output using Machine-Learning XG-Boost Algorithm

    HTML