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A collection of diverse data science projects demonstrating skills in data analysis, visualization, and statistical modeling using Python and R. Projects include custom implementations of regression algorithms, customer segmentation, sentiment analysis, and exploratory data analysis on real-world datasets.

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Data Science Projects

This repository contains various data science projects that showcase my skills in data analysis and visualization. More projects will be added in the future as I continue to explore and develop new ideas.

Projects

Project Description Link
Building Linear Regression from Scratch Implementation of Linear Regression without using libraries like scikit-learn. View Project
Customer Segmentation using R Clustering customers based on purchasing behavior using R. View Project
IPL Auction Analysis Analyzing IPL auction data to extract insights and trends. View Project
Sentiment Analysis using R Performing sentiment analysis on text data using R. View Project
Polynomial Regression from Scratch Implementation of Polynomial Regression without using libraries like scikit-learn. View Project

Future Plans

  • Expanding the repository with more data science projects.
  • Enhancing existing projects with better visualizations and insights.

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For any queries or collaborations, feel free to reach out!

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A collection of diverse data science projects demonstrating skills in data analysis, visualization, and statistical modeling using Python and R. Projects include custom implementations of regression algorithms, customer segmentation, sentiment analysis, and exploratory data analysis on real-world datasets.

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