Projects in Awesome Lists tagged with bivariate-analysis

https://github.com/packtworkshops/the-data-analysis-workshop

A New Interactive Approach to Learning Data Analysis

bivariate-analysis clustering data data-analysis exploratory-data-analysis feature-engineering hypothesis-testing kolmogorov-smirnov-tests linear-regression logistic-regression pandas-profiling python univariate-analysis visual-analysis visualizations

Last synced: 04 Sep 2025

https://github.com/moindalvs/learn_eda_for_data_science

Univariate, Bivariate and Multi-variate Analysis

bivariate-analysis correlation-analysis data-science data-transformation data-type-conversion data-types-and-structures data-visualization duplicates-removal exploratory-data-analysis imputation missing-values multi-variate-analysis normalization outlier-detection pandas-profiling standardization univariate-analysis

Last synced: 07 Oct 2025

https://github.com/34j/colormap-complex

Complex / 2d multivariate bivariate colormap / Domain coloring for Matplotlib, Plotly etc. (pure-numpy)

bivariate bivariate-analysis color colormap colour-science complex-analysis complex-numbers domain-coloring domain-colouring matplotlib multivariate multivariate-analysis

Last synced: 08 May 2025

https://github.com/tushar2704/stats-mosaic-streamlit

Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.

artificial-intelligence bivariate-analysis data-analysis data-science hypothesis-testing machine-learning statistical-learning statistics streamlit streamlit-tushar2704 univariate-analysis

Last synced: 18 Feb 2025

https://github.com/shraddha-r0/pgp-ml-ai-portfolio

A series of six hands-on projects completed during my PGP ML and AI academic training with UT Austin and Great Learning

artificial-neural-networks bagging-ensemble bivariate-analysis boosting-ensemble cross-validation data-pre-processing data-science decision-tree-classifier exploratory-data-analysis hyperparameter-tuning keras large-language-models machine-learning model-building-and-evaluation random-forest-classifier smote tensorflow transfer-learning-with-cnn univariate-analysis word-embeddings

Last synced: 13 Oct 2025

https://github.com/moindalvs/learn_visualization_on_matplotlib

Matplotlib The Figure is the overall window or page that everything is drawn on. It’s the top-level component of all. To the figure you add Axes. The Axes is the area on which the data is plotted. A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers. All methods of an Axes object exist as a function in the pyplot module and vice versa. Mostly, you’ll use the functions of the pyplot module because they’re much cleaner, at least for simple plots!

barchart bivariate-analysis boxplot horizontal-bar-charts matplotlib matplotlib-pyplot matplotlib-python matplotlib-tutorial piechart subplots univariate-analysis

Last synced: 11 Mar 2025

https://github.com/mahitej28/analysis-of-ameo-dataset

Performing Exploratory Data Analysis of a Dataset

analysis bivariate-analysis data-visualization eda exploratory-data-analysis python univariate-analysis

Last synced: 25 Feb 2025

https://github.com/fabnavarro/makedensity2d

2-dimensional Normal Mixture Models

bivariate-analysis matlab statistics

Last synced: 21 Feb 2025

https://github.com/sawaira-iqbal/data-visualization-project-on-car-sales-data

Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.

bivariate-analysis data-science data-visualization interactive-visualizations matplotlib multivariate-analysis numpy plotly python seaborn univariate-analysis

Last synced: 04 Sep 2025

https://github.com/mehrab-kalantari/book-price-prediction

Book price dataset analysis and modeling

bivariate-analysis eda feature-engineering feature-extraction feature-importance nlp one-hot-encoding ordinal-encoding outlier-detection random-forest-regressor scaling univariate-analysis

Last synced: 05 Mar 2025

https://github.com/rachakondaganesh/using-nlp-online-and-retail-order-review-project

analyzed customer reviews from online and retail orders. Performed sentiment analysis, keyword extraction, and topic modeling to identify trends, satisfaction drivers, and pain points. Used Python (NLTK, spaCy) and visualization tools to present actionable insights for improving customer experience and product strategy.

bivariate-analysis lambda matplotlib-pyplot nlp-machine-learning pandas sent-tokenize stemming stopwords trivariate-analysis unicode-data univariate-analysis word-tokenization

Last synced: 09 Oct 2025

https://github.com/artzaragozagithub/py--p1_foodapp

Customer Behaviour Analysis and Business Observations to Improve Relationships, Increase Sales and Services.

bivariate-analysis eda multivariate-analysis numpy-library pandas-library python-3 seaborn univariate-analysis

Last synced: 13 Oct 2025

https://github.com/srinibas-masanta/insurance-premium-prediction

This project predicts medical insurance charges using machine learning models after performing data preprocessing, EDA, and feature engineering. It highlights key cost drivers like age and smoking status and uses trained models for accurate predictions. The entire workflow demonstrates an end-to-end approach to regression-based predictive modeling.

bivariate-analysis data-preprocessing exploratory-data-analysis insurance-prediction machine-learning regression-models univariate-analysis

Last synced: 12 Aug 2025

https://github.com/makoczoro/credit-default-risk-analysis-eda

This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis

Last synced: 20 Mar 2025

https://github.com/manuethomas/credit-default-risk-analysis-eda

This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis