Portfolio of capstone projects from AI & Technology Honors, Data Science Honors, and AI Internship Honors. Showcases advanced Python work: CNN pneumonia detection on chest X-rays (>90% accuracy), healthcare EDA on disease symptoms/patient profiles — built as a 10th grader with dual USACO perfects & IEEE/IJHSR publications.

The projects I've done over the course of time for practicing my EDA and Data Science skills. You can check the code out and learn!

A Special Open-Source Repository for all kinds of Data Science and Machine Learning Projects! Contribute your EDA Case Studies, ML Models, Deep Learning Algo, and fun Computer Vision ideas!

"Incorporating exploratory data analysis (EDA) techniques in a data science project focused on terrorism. EDA involves visualizing, summarizing, and interpreting terrorism data to reveal patterns, relationships, and potential insights. This critical phase informs subsequent analyses and aids in developing a comprehensive understanding.

In this Data science project I tried to create Jupyter notebooks for EDA and feature engineering of Advanced House Price Prediction Dataset from Kaggle Competition.

A data science project that utilizes ETL, EDA and ML to analyze sentiments on various Amazon product reviews from different categories.

This repository contains resources, code, and projects related to the Global Core Tech Internship on Data Science with Python. Explore the world of data science with Python, learn NumPy, Pandas, Matplotlib, and EDA, and work on exciting data science projects. Elevate your skills and knowledge in the field of data analysis and visualization.

📊 A real-time air quality analysis project using Python. Explores AQI data from Indian cities via data.gov.in API. Includes EDA, pollutant trends, correlation, clustering (KMeans), and interactive geospatial maps with Folium. Built for INT375: Data Science Toolbox.

his project highlights how data science can play a crucial role in environmental awareness and decision-making. From identifying pollution peaks to visualizing long-term health risks, EDA empowers us to see the bigger picture — one graph at a time.

Geospatial data science project about NYC traffic, with ArcGIS, EDA and a machine learning model to predict NYC traffic volume.

This capstone project is part of the data science career track program at Springboard. EDA and interactive visualizations are performed on Yelp open dataset to understand restaurant, user and review patterns on Yelp platform. A hybrid recommendation engine is further developed. Please see the README below for more information.

Internship tasks and projects completed during the Data Science with GenAI program at Innomatics Research Labs, covering Python, EDA, MLOps, Generative AI, and Agentic AI.

The Kaggle_Projects repository is a curated collection of projects and solutions derived from various Kaggle competitions and datasets. It highlights a diverse range of data science and machine learning tasks, including exploratory data analysis (EDA), predictive modeling, and data visualization. Each project in the repository showcases a comprehen

A data science project focused on analyzing employee data to uncover insights related to job satisfaction, performance, and workforce trends using EDA and machine learning techniques.

You will find several interesting Data Science projects in the field of Oil and Gas Industry. From EDA and plotting well profiles to running predictive machine learning models

46 projects on a full spectrum of Advanced Data Science, AI, Machine Learning, Deep Learning skills, including EDA, Data Visualization, traditional ML Fundamentals (Regression, Classification, Clustering, Ensemble methods) using TensorFlow/Keras, PyTorch, Scikit-Learn, Pandas, NumPy, & more, implemented in Python scripts & Jupyter Notebooks.k

A complete data science project that includes preprocessing of the COVID-19 India dataset, detailed EDA, statistical analysis, time-series trends, and geospatial mapping. Built using Python (Pandas, NumPy, Plotly, Dash). The dashboard shows KPIs, interactive charts, and state-wise insights.

Data Science Cheat Sheets is a compact reference repository covering essential topics like statistics, machine learning, deep learning, Python libraries, EDA, visualization, model evaluation, and MLOps. It’s designed to help learners and professionals quickly revise concepts, prepare for interviews, and streamline project work.

This repo contains Data science project - EDA done for Car sales data.

A data science project analyzing global video game sales using Python, with insights through EDA and visualizations.

This project contains AI and Data Science projects that analyses disease classification from images, forecasting, and EDA report of the pandemic.

Daily projects from Elevate AI & ML Internship: end-to-end data science workflow—including data cleaning, EDA, regression, and classification—on well-known datasets with complete code, outputs, and visualizations.

📝 This project is part of my 💼 Data Science Internship at Prodigy InfoTech (Task 2). 🎯 Goal: Perform 🧹 Data Cleaning and 🔍 Exploratory Data Analysis (EDA) on the famous 🚢 Titanic Dataset.

This project aims to perform a detailed data-driven analysis of the S&P 500 stock market using historical stock price data from the period 2014 to 2017. Leveraging Python and essential data science tools, the project uncovers key financial insights through statistical analysis, exploratory data analysis (EDA), and visualizations.

Web Scraping and EDA project about data science books.

Portfolio of Data Science projects including EDA, machine learning, and deep learning projects implemented in Python by me.

A curated collection of 100 end-to-end data science and machine learning projects, covering EDA, modeling, and deployment.

An IBM Data Science Cap Stone Project based on collecting SpaceX data and performing EDA and Data Visualization and build appropriate Machine Learning Models

A data science project analyzing dynamic ride pricing using EDA, hypothesis testing, and visualization to uncover cost patterns and customer insights

An data science project analyzing Spotify's most streamed songs of 2024. Features a complete pipeline for data cleaning, EDA, hypothesis testing, and an XGBoost model deployed in a Flask web application with a predictive simulator.