exploratory-data-analysis-eda
There are 15 repositories under exploratory-data-analysis-eda topic.
datamole-ai/edvart
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.
SarangGami/Capstone-EDA-project-Airbnb-bookings-analysis
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.
OzzyGoylusun/Python.-Exploration-of-All-Nobel-Prize-Winners-and-Intriguing-Hidden-Patterns
This data project on Python uncovers and visualizes untapped patterns regarding all Nobel Prize laureates up to date.
Akash1070/Deploying-a-Netflix-Recommender-System-on-Heroku-Cloud
Building And Deploying A Netflix Recommender System On Heruko
Mashael2030/Analysis-of-E-commerce-for-women-s-clothing-EDA
# Women's E-Commerce Clothing Reviews Data Analysis
JonathaWRDCosta/Heart-Disease-ML-Project
This repository contains a Jupyter Notebook demonstrating a practical example of data science and machine learning for heart disease classification.
thisisrawabi/Exploratory-Data-Analysis-EDA-
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 movements inside the stations and the persona.
gopiashokan/Airbnb-Analysis-with-Tableau
Built an interactive Tableau dashboard to analyze the Airbnb data extracted from MongoDB Atlas. Developed a Streamlit application for trend analysis, pattern recognition, and data insights using EDA. Explored variations in price, location, property type, and seasons through dynamic plots and charts.
anna-kay/Reddit-summarization
Abstractive summarization of Reddit datasets with transformers
jianninapinto/Coffee-Shops-Review-Analysis-using-NLP
Performed feature engineering and data cleaning on text data using lemmatization techniques and stop word removals.
KarthikUdyawar/passwordometer
To predict the strength of the password
JonathaWRDCosta/Dog-Breed-Identification
Determine the breed of a dog in an image
Akash1070/CRUD-App---Thing-Finder
Building And Deploying CRUD App -Thing Finder On Heruko