Projects in Awesome Lists tagged with explanatory-data-analysis

https://github.com/sondosaabed/prosper-loan-analysis

A Comprehensive exploratory data analysis (EDA) on a loan dataset to uncover key trends, patterns, and relationships among various loan attributes. By visualizing and analyzing the data, we aim to gain insights into loan performance, borrower characteristics, and market dynamics. 🪙🏦

data-analyst-nanodegree data-visualization explanatory-data-analysis exploratory-data-analysis matplotlib pandas python seaborn udacity-nanodegree

Last synced: 08 Oct 2025

https://github.com/roma-glushko/kaggle-house-prices

🏘 Ames house dataset modelled and explained

explanatory-data-analysis house-price-prediction kaggle-competition kaggle-house-prices machine-learning regression

Last synced: 25 Oct 2025

https://github.com/roma-glushko/kaggle-wine-quality

🍷 Quality analysis of red and white variants of the Portuguese "Vinho Verde" wine

classification explanatory-data-analysis kaggle machine-learning regression wine-quality

Last synced: 06 Apr 2025

https://github.com/wambugu71/auto_eda_dsail

Automating process of EDA (Explaratory Data Analysis) with Generative AI and opensource python tools.

automation data-analytics data-science data-science-projects dataanalysis deeplearning eda explanatory-data-analysis machine-learning

Last synced: 16 Mar 2025

https://github.com/collins-kimotho/wrangle-and-analyze-project

Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data

explanatory-data-analysis exploratory-data-analysis matplotlib numpy pandas python twitter twitter-api

Last synced: 23 Mar 2025

https://github.com/alchemine/analysis-tools

Analysis tools for machine learning projects

data-analysis explanatory-data-analysis machine-learning python

Last synced: 06 Aug 2025

https://github.com/kivanc57/explaratory_analysis

Exploratory and Descriptive Data Analysis on Indonesian data using R. This project involves reading data, feature analysis, correlation analysis, logistic regression, PCA, MDS, and clustering. Visualizations include boxplots, scatter plots, corrgrams, and dendrograms. Comprehensive report available in report.docx.

clustering data-science data-visualization descriptive-statistics explanatory-data-analysis mds pca plot r

Last synced: 10 Mar 2025

https://github.com/andrew2077/102flowers-eda-classification

FellowshipAi project

explanatory-data-analysis flowers102 gradcam-visualization python pytorch tensorboard xai

Last synced: 28 Dec 2025

https://github.com/mhmmdrzkya2000/digitalskillfair38_data_science_2025

Titanic EDA - Explanatory Data Analysis Repository ini merupakan hasil pelatihan selama 1 minggu dari DigitalSkillFair38 Data Science yang saya ikuti bersama Dibimbing.id berfokus materi tentang proses Explanatory Data Analysis (EDA) terhadap datasheet Titanic

datacleaning datapreprocessing datavisualization explanatory-data-analysis python

Last synced: 23 Apr 2025

https://github.com/kivanc57/feature_comparison

This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.

boxplot clustering correlation data-science data-visualization descriptive-statistics explanatory-data-analysis pearson-correlation r scatter-plot spearman

Last synced: 10 Mar 2025

https://github.com/ngangawairimu/music-trends-on-spotify-a-data-exploration-of-top-tracks

This project analyzes Spotify’s top tracks dataset, exploring trends in musical features, artist popularity, genre distribution, and correlations between various song attributes.

correlation-analysis data-visualization explanatory-data-analysis pandas seaborn statistical-analysis

Last synced: 06 Sep 2025

https://github.com/ngangawairimu/regression-model-for-predicting-house-prices

This project focuses on applying statistical modeling techniques to predict house prices in Melbourne using the Melbourne House Price dataset. It involves data cleaning, exploratory data analysis (EDA), feature selection, and fitting a regression model to predict the target variable, which is the house price.

datacleaning dataprocessing explanatory-data-analysis modelevaluation modelinterpretability regression-analysis