Projects in Awesome Lists tagged with expolatory-data-analysis
A curated list of projects in awesome lists tagged with expolatory-data-analysis .
https://github.com/rajesh9943/visualizing-global-development-trends-an-animated-analysis-of-life-expectancy-and-fertility-rates
To clean and analyze data to find trends in global population, fertility, and life expectancy from 1960 to 2016. This idea was inspired by hans rosling . To analyze the data, I used a scatter bubble chart, which clearly shows how's the population increased and the fertility rate decreased from 1960 to 2016.
data-analysis data-cleaning-and-preprocessing data-exploration expolatory-data-analysis identify-patterns reporting vizualisation
Last synced: 08 Oct 2025
https://github.com/mj-awad17/school-daily-attendance-eda
Aims to uncover trends, identify influencing factors, and provide actionable insights
eda expolatory-data-analysis python seaborn
Last synced: 15 Mar 2025
https://github.com/romanmicuda/bitcoin-price-and-fear-greed-index
Contains daily Bitcoin prices (Open, High, Low, Close, Volume). Includes Crypto Fear & Greed Index, showing market sentiment. Useful for crypto trading strategies, ML models & finance research.
expolatory-data-analysis finance time-series-forecasting
Last synced: 23 Apr 2025
https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python
This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.
bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy
Last synced: 17 Apr 2026
https://github.com/mohammad95labbaf/umap_breast_cancer
This repository explores the interplay between dimensionality reduction techniques and classification algorithms in the realm of breast cancer diagnosis. Leveraging the Breast Cancer Wisconsin dataset, it assesses the impact of various methods, including PCA, Kernel PCA, LLE, UMAP, and Supervised UMAP, on the performance of a Decision Tree.
breast-cancer-wisconsin decision-tree decision-tree-classifier dimensionality-reduction dimensionality-reduction-technique eda expolatory-data-analysis kernel-pca lle locally-linear-embedding principal-component-analysis umap
Last synced: 08 Jun 2026
https://github.com/nkr1108/aimljourney
My AIML Journey
altair bagging-classifier boosting-classifier decision-tree ensemble-techniques expolatory-data-analysis hyperparameter-tuning linear-regression logistic-regression model-evaluation-metrics pandas python random-forest regular-expression seaborn sklearn stacking-classifier visualization
Last synced: 04 May 2026
