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#

exploratory-data-analysis-eda

Here are 45 public repositories matching this topic...

A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.

  • UpdatedDec 31, 2024
  • Jupyter Notebook

An open-source Python library for Data Scientists & Data Analysts designed to simplify the exploratory data analysis process. Using Edvart, you can explore data sets and generate reports with minimal coding.

  • UpdatedMar 14, 2024
  • Python

Exploratory data analysis of Airbnb bookings in New York City to gain insights into the travel industries and Uncovers trends, patterns, user preferences and behavior. Utilizes Python libraries for data exploration, data cleaning, manipulation, and visualization. Provides valuable insights for travelers, hosts, and the Airbnb business.

  • UpdatedMar 11, 2023
  • Jupyter Notebook

This data project on Python uncovers and visualizes untapped patterns regarding all Nobel Prize laureates up to date.

  • UpdatedMay 29, 2024
  • Jupyter Notebook

Building And Deploying A Netflix Recommender System On Heruko

  • UpdatedSep 19, 2022
  • HTML

# Women's E-Commerce Clothing Reviews Data Analysis

  • UpdatedJan 11, 2022
  • Jupyter Notebook

Built an interactive Tableau dashboard to analyze Airbnb data and developed a Streamlit application for trend analysis, pattern recognition, and data insights using EDA. Explored variations in price, location, property type, and seasons with interactive plots and charts, greatly aiding decision-making in the hospitality and real estate industries.

  • UpdatedJul 20, 2024
  • Jupyter Notebook

This repository contains a Jupyter Notebook demonstrating a practical example of data science and machine learning for heart disease classification.

  • UpdatedFeb 24, 2024
  • Jupyter Notebook

NYC health is one of the well-known centers in New York City to offer PCR tests for COVID-19 the center decided to establish ten mini examination centers in MTA stations. Thus NYC health is now in a mission to find the most crowded stations in New York City based on analyzing the MTA stations dataset which will give a better understanding of the…

  • UpdatedOct 9, 2021
  • Python

Performed feature engineering and data cleaning on text data using lemmatization techniques and stop word removals.

  • UpdatedFeb 23, 2023
  • Jupyter Notebook

End-to-end healthcare ML workflow featuring data ingestion, DQA procedures, feature engineering, RandomForest modeling, and accuracy/recall optimization. Designed to simulate a production-ready analytics pipeline supporting clinical decision-making.

  • UpdatedDec 10, 2025
  • Jupyter Notebook

This project offers an Exploratory Data Analysis (EDA) on company stakeholders, including management, employees, shareholders, and others. Conducted in Python via Google Colab, it covers data transformation, clustering, statistical analysis, PCA, and predictive modeling. Visualizations provide insights into stakeholder roles and influence.

  • UpdatedJan 6, 2025
  • Jupyter Notebook

A ML application focused on EDA and basketball analytics, showcasing data visualization and insights using Python and relevant libraries.

  • UpdatedAug 3, 2024
  • Python

Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.

  • UpdatedDec 14, 2024
  • Jupyter Notebook

Exploratory data analysis of a food delivery aggregator dataset to identify order trends, restaurant performance, and delivery efficiency. Provides actionable insights for operations and marketing.

  • UpdatedDec 8, 2025
  • Jupyter Notebook

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