Projects in Awesome Lists tagged with exploratory-data-analysis-eda

https://github.com/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.

analysis data-analysis data-science data-visualization data-viz eda exploration exploratory-data-analysis exploratory-data-analysis-eda plots python

Last synced: 11 Feb 2026

https://github.com/akash1070/deploying-a-netflix-recommender-system-on-heroku-cloud

Building And Deploying A Netflix Recommender System On Heruko

artificial-intelligence exploratory-data-analysis-eda heruko machine-learning netflix-recommendation-system python3

Last synced: 25 Jul 2025

https://github.com/karthikudyawar/passwordometer

To predict the strength of the password

cybersecurity data-analysis data-visualization dataset docker exploratory-data-analysis-eda fastapi jupyter-notebook mongodb password-security password-strength-meter

Last synced: 30 Apr 2026

https://github.com/md-emon-hasan/3-eda-basketball-ml-app

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

basketball-analysis csv data-visualization eda exploratory-data-analysis exploratory-data-analysis-eda ml-app

Last synced: 12 Apr 2026

https://github.com/adilrasheed139/ai-powered-resume-screening-using-bert

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%.

bert-model deep-learning exploratory-data-analysis-eda fine-tuning-bert model-evaluation nlp nlp-machine-learning text-preprocessing text-tokenization word-embeddings word-embeddings-for-nlp

Last synced: 03 Apr 2025

https://github.com/niladrighosh03/classification---comparison-of-supervised-machine-learning-algorithms

This project explores supervised machine learning algorithms for heart disease prediction using the UCI Heart Disease Dataset. Various classification models like KNN, SVM, Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, Gradient Boosting, and XGBoost are implemented and compared based on accuracy, precision, recall, and F1-score.

accuracy-score analysis classification-algorithm comparison datasets decision-trees exploratory-data-analysis-eda feature-engineering heart-disease machine-learning-algorithms xgboost

Last synced: 06 Apr 2025

https://github.com/akash1070/crud-app---thing-finder

Building And Deploying CRUD App -Thing Finder On Heruko

crud-application exploratory-data-analysis-eda flask-api heruko sql

Last synced: 06 Feb 2026

https://github.com/tolumie/exploratory-data-analytics-projects

Exploratory Data Analytics – A collection of projects covering data exploration, feature engineering, hypothesis testing, and predictive modeling across diverse datasets, including insurance, real estate, laptops, cars, COVID-19, and the Olympics.

data-analysis data-visualization data-wrangling exploratory-data-analysis-eda feature-engineering hypothesis-testing machine-learning matplotlib numpy pandas predictive-modeling python seaborn statistical-analysis

Last synced: 11 Apr 2026

https://github.com/ehsan-behzadi/online-retail-data-analysis-and-preprocessing

This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. It includes data cleaning, exploration, and visualization, with the goal of enhancing understanding of online retail dynamics.

cohort-analysis data-analysis data-cleaning data-exploration duplicate-detection exploratory-data-analysis-eda feature-encoding feature-engineering handling-missing-values online-retail outlier-detection preprocessing trends-visualization visualization z-score-method