GitHub topics: seaborn-plots

AllanOtieno254/Health-Care-Data-Analysis

This project provides a comprehensive exploratory data analysis (EDA) of a healthcare dataset, with a focus on understanding patient demographics, disease prevalence, and visit patterns.

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Fufulooky/Time-Series-Project-S-P-500-Stock-Market-Case-Study-

This repository analyzes S&P 500 stock data for tech companies like Apple, Amazon, Google, and Microsoft. It covers data prep, price analysis, moving averages, daily returns, resampling, and correlation analysis. Visualizations include line plots, pair plots, and heatmaps, using pandas, seaborn, and matplotlib.

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amansiwach868/titanic-survival-prediction

This repository contains a project focused on predicting Titanic passenger survival using machine learning techniques. It includes data analysis, feature engineering, and model evaluation to provide insights into survival rates. 🛠️📊

Language: Python - Size: 260 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

sorna-fast/customer_personality_clustering

Customer behavior analysis, data analysis, data frame analysis, and clustering using machine learning

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sabin74/IPL_performance_analysis

This project performs Exploratory Data Analysis (EDA) on the Indian Premier League (IPL) cricket dataset to uncover insights about players, teams, and match trends.

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rohankharche34/Solar-panel-performance-optimization

Stacked regression ensemble using sensor and environmental data to forecast solar panel efficiency.

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prathamesh693/02_Customer-Churn-Prediction-in-Telecom-Industry

🔍 Predict customer churn in the telecom industry using machine learning models like Decision Tree, XGBoost, and SVM. Includes data preprocessing, model training, evaluation, and a Streamlit app for interactive predictions.

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Abhijeet107/car-service-

Reallife car service data analysis

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ViejoLoco27/Desafio__Visualizacion_de_datos_e

En proceso...

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pmehta2612/Zomato-EDA-Project

This project analyzes Zomato restaurant data to uncover insights on ratings, costs, cuisines, reviews, and customer sentiment. The goal is to help Zomato understand customer preferences and improve restaurant performance for better business decision-making.

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JavierKaiser9/Product_sales_forecasting

Forecasting product sales using tree-based regression models, deep data analysis, and end-to-end machine learning pipelines.

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sagarkhese40/python-assginment

python assignment

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juancar11111/Neural-Network-Portfolio

A comprehensive collection of neural network implementations showcasing deep learning techniques using TensorFlow and PyTorch. Features CNN image classification on CIFAR-10, ResNet architecture comparisons, and optimizer performance analysis. Complete with detailed documentation, visualizations, and performance metrics for each model.

Language: Python - Size: 50.8 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

sorna-fast/fraud-detection

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite

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Abdiasarsene/Developpement_Tableau_de_Bord_de_la_Chaine_Approvisionnement_Power_BI

Développer une solution complète pour visualiser, analyser et prédire des données de la chaîne d'approvisionnement.

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mdrmtz/PC-ML-AI

Professional Certificate in Machine Learning and Artificial Intelligence

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mahnoorsheikh16/NLP-Approach-to-AI-Text-Classification Fork of andrew-jxhn/STT811_StatsProject

A text‐classification pipeline for identifying human‐ versus AI-generated responses using engineered linguistic/semantic features and PCA-reduced vectors; achieves ~85% accuracy with Logistic Regression, SVM, and MLP, and includes a fine-tuned bert-base-uncased model.

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mahnoorsheikh16/Sketchify-A-Quick-Draw-drawing-classifier

Implementation of a sketch‐recognition pipeline inspired by Google’s Quick, Draw!—from raw stroke data to prediction. Includes data preprocessing and feature‐engineering scripts, three Bayesian classifiers alongside Logistic Regression, SVM, K-NN and XGBoost baselines, and an RNN model.

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fayzi-dev/machin_learning

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)

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davutbayik/metacritic-games-sentiment-analysis

Sentiment analysis to Metacritic games reviews using a fine-tuned and pre-trained BERT model and visualizations using matplotlib, seaborn, plotly libraries.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

FabianaCampanari/Iris-DataAnalysis-Seaborn-

🌸 The provided code snippet is a Python script that uses matplotlib to plot the numerical and exact derivatives of a function f4 over a range of values. The script generates a sequence of values x from -5 to 5, calculates the derivatives using two different methods, and then plots the results for comparison.

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N0teveryth1ng/ECOM-1N

This is a project where i analyzed the data of different ecommerce platforms altogether. Which is also derived from customer,shipped-city,country,price,oder id etc.

Language: Jupyter Notebook - Size: 25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Whoikram/Diwali_sales_python_data_analysis

Data analysis project on Diwali sales using Python libraries like Pandas, Matplotlib, and Seaborn. The notebook includes gender, age group, state-wise, and marital status-based purchasing insights to help understand customer behavior.

Language: Jupyter Notebook - Size: 432 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

mehtadigisha/Clean-Visualize-Analyze

Clean Visualize Analyze

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onixlas/phd-2025-anomaly-detection

Jupyter notebooks for generating anomaly detection plots used in the Positive Hack Days talk

Language: Jupyter Notebook - Size: 29.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 0

Bruno-sosa-dev/crop-production-python-project

This project analyzes crop production data using Python to identify trends and optimize yield. It provides tools for data visualization and predictive modeling, helping farmers make informed decisions.

Language: Jupyter Notebook - Size: 362 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

aseel15/metacritic-games-sentiment-analysis

Sentiment analysis to Metacritic games reviews using a fine-tuned and pre-trained BERT model and visualizations using matplotlib, seaborn, plotly libraries.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

milaan9/12_Python_Seaborn_Module

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.

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somjit101/Human-Activity-Recognition

This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.

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naghim/SeabornColorPaletteShowcase

🌊🎨 I made a repository showcasing 164 color palettes from Seaborn... so you do not have to!

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matheusAFONSECA/Python-Data-Visualization-Matplotlib-Seaborn-Masterclass-Udemy

This repository is dedicated to storing the code developed during the "Python Data Visualization: Matplotlib & Seaborn Masterclass" course on Udemy.

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easonlai/Samples_for_Azure_Databricks_Orientation

Samples for Azure Databricks Orientation

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Arif-miad/Indian-Personal-Finance-and-Spending-Habits

dataset contains detailed financial and demographic data for 20,000 individuals, focusing on income, expenses, and potential savings across various categories

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ankita2799/Telecom-Churn-Analysis

This project performs customer churn analysis on a telecommunications dataset using PySpark and SQL. It covers data cleaning, feature engineering, exploratory data analysis, and predictive modeling to identify key churn drivers and forecast customer attrition.

Size: 235 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PoojaVishwakarm/Data_analyst--IRIS_dataset

Iris data analysis involves exploring the famous Iris dataset, which contains measurements of sepal length, sepal width, petal length, and petal width for three iris species. The goal is to classify the species using statistical and machine learning techniques.

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Sujith-DA279/TurtleGames_Prediction_Analysis

An in-depth analysis of a gaming retailer's customer data to improve overall sales performance through enhanced understanding of customer behavior and loyalty patterns.

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Sujith-DA279/NHS_Utilisation_Analysis

An in-depth analysis of NHS UK appointment data (2020-2022) to identify service utilization patterns and assess resource capacity

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macnianios/Fandango

a udemy project for seaborn data visualizations and basic pandas commands

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pmehta2612/Amazon-Prime-EDA-

This project analyzes Amazon Prime's content library to uncover trends in content production, genre distribution, country-wise content availability, and popularity metrics.

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flaviohnm/recomendation_system

Desenvolvimento de Sistema de Recomendação com Técnicas de Machine Learning, Aprendizado Não Supervisionado

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ljhack/merchant-categorization

An AI-powered system to categorize merchants from transactional data using NLP and clustering techniques!

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Arif-miad/Machine-Learning-Analysis-Model-Comparison

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scarblase/russian-military-losses-analysis

This repository provides an in-depth analysis of Russian equipment losses using PySpark and data visualization techniques.

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whoisalisha/BOM-Business-Analyst-Technical-Case-Study-Assignment

BOM(Bill of Materials) Business Analyst Case Study Solution using Python, Pandas manipulation and Visualization Technique

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ArtZaragozaGitHub/ML--P2_Predicting_Loan_Purchases

Anticipating Loan-Eligible Bank Customers with a High Probability of Successfully Purchasing a Bank Loan.

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michellepace/seaborn-plot-consistency-guide

A practical guide to creating consistent Seaborn visualisations using preset themes, with detailed guidance on colour palettes.

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vanshuchaudhary/flightpriceanalysis-

The uploaded file is a Jupyter Notebook titled "Flight Analysis". It likely involves analyzing flight-related data, potentially exploring trends, patterns, or insights using data science techniques. The analysis might include data visualization, statistical analysis, or predictive modeling.

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Boxxxi/merchant-categorization

An AI-powered system to categorize merchants from transactional data using NLP and clustering techniques!

Language: Python - Size: 20.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

amanovishnu/credit-card-fraud-detection

this project uses machine learning to detect fraudulent credit card transactions with local outlier factor and isolation forest algorithms. we’ll evaluate performance and visualize data distribution.

Language: Jupyter Notebook - Size: 67 MB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

IKEDAI1014/plot-input-latency

Script to graph input latency data

Language: Python - Size: 2.25 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

RushikeshBihade/Django_Bsased_DataAnalyzer_WebApp

Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.

Language: Python - Size: 2.91 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

AbhishekYadav915/Email-SMS_Spam_Classification

A machine learning-based application using NLP techniques to detect spam messages. Built with Streamlit, NLTK, and scikit-learn, the model uses Multinomial Naive Bayes for high accuracy. Data visualization is done with Matplotlib and Seaborn.

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

newmetagetright/IBM-Data-Science-Capstone

IBM Data Science Project

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jl33-ai/dotplotlib

A basic extension library for creating tree dot plots, strip plots or dot charts w/ matplotlib or seaborn in Python

Language: Python - Size: 2.44 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 10 - Forks: 0

NadeemAkhtar1947/Olympics-Data-Search_App

Olympics Data Search App

Language: Python - Size: 5.46 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Meepo69/Alcohol_consumption_sleep_pattern_Detection

Language: Jupyter Notebook - Size: 441 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

dhrumilrana25/Python-Libraries-Tutorial

Comprehensive tutorials on popular Python libraries: NumPy, Pandas, Matplotlib, Seaborn, Keras, TensorFlow, and PyTorch. Easy-to-follow guides with code examples for data manipulation, visualization, and machine learning. Perfect for beginners and experienced developers. Contribute and learn with us!

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

Abhi-Pat/Time-Series-Project-S-P-500-Stock-Market-Case-Study-

This repository analyzes S&P 500 stock data for tech companies like Apple, Amazon, Google, and Microsoft. It covers data prep, price analysis, moving averages, daily returns, resampling, and correlation analysis. Visualizations include line plots, pair plots, and heatmaps, using pandas, seaborn, and matplotlib.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

suhasjadhav264/Health-Analysis

In this project, we will visualize and make calculations from medical examination data using matplotlib, seaborn, pandas and Body Mass Index(BMI). The dataset values were collected during medical examinations.

Language: Jupyter Notebook - Size: 980 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Prateek5525/YT-Analysis-Project

This project utilizes the YouTube Data API to analyze channel and video performance, offering insights into subscriber counts, views, video metrics, and monthly trends. It generates visual reports and exports data in CSV format, aiding in effective decision-making and performance tracking.

Language: Jupyter Notebook - Size: 426 KB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sramalhao/analyzing_mental-health

This repository contains an analysis of the mental health challenges faced by international students, based on a dataset provided by DataCamp. The project explores factors such as acculturative stress, social connectedness, and their impact on mental health outcomes like depression.

Language: Jupyter Notebook - Size: 113 KB - Last synced at: 10 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sayed-ashfaq/Netflix_DataCleaning

Netflix data analysis highlights significant null values, requiring cleaning and visualization to uncover viewer trends and regional insights. Improving data quality, personalizing recommendations, and targeting untapped markets can drive growth and profitability.

Size: 2.2 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

tanveer-kader/ml-projects-py

Kickstart AI through Machine Learning and Deep Learning Projects (20+)

Language: Jupyter Notebook - Size: 48.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 41 - Forks: 9

ngangawairimu/Data-visualization-with-python

Analyzed Coursera Course Dataset using Python for exploratory data analysis (EDA) and visualization to uncover insights on ratings, enrollments, and course attributes, providing actionable recommendations to optimize course offerings and enhance learner engagement.

Language: Jupyter Notebook - Size: 643 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

priyaa98/Projects

Topics related to Machine Learning

Language: Python - Size: 8.79 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

matsjfunke/ufc-data-science

C<>de SE_42 Data Science Basics Project

Language: Python - Size: 2.03 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

BotSonu/Data-analysis-and-visualization-on-Indian-Agriculture

This project analyzes Indian agriculture using R Studio for statistical analysis (descriptive stats and meta-analysis with metabin) and Python for data visualization. It aims to uncover insights on crop production, regional disparities, and climate impacts, helping inform decision-making in the agricultural sector.

Language: Jupyter Notebook - Size: 16.1 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Kumpatlapavankumar/EDA-Project-On-Google-Play-Store-Anlaysis

Language: Jupyter Notebook - Size: 608 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

subhashpolisetti/apache-beam-and-eda-projects

Apache Beam and EDA Projects: Showcasing real-time data processing with Apache Beam, interactive visualizations with D3.js, and automated EDA with Sweetviz and PyCaret. Includes Jupyter notebooks and outputs for learning and exploration.

Language: Jupyter Notebook - Size: 819 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ccolpasm/Medical-Data-Visualizer

This repository features a medical data visualizer using Matplotlib, Seaborn, and Pandas to explore and present health data statistics. Through bar, line, and distribution plots, it enables visual analysis of various health variables.

Language: Python - Size: 884 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

nikhilsree5/DelhiveryCaseStudy

Data Transformation and Forecasting for Enhanced Logistics Efficiency in Delhivery

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

SreejaBethu/Sales-Data-Analysis-Forecasting

Welcome to the Sales Data Analysis & Forecasting project! 🚀 This repository showcases my data analysis skills through exploratory data analysis (EDA), data cleaning, and visualization of sales and customer feedback data. The goal is to extract actionable insights to drive business decisions.

Language: Python - Size: 2.23 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Gchism94/EDA_In_Python_Book

Data7 Exploratory Data Analysis in Python Book

Language: HTML - Size: 94.9 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Bredalis/Seaborn

📊 Library to create graphics 📊

Language: Python - Size: 26.4 KB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

lmno3418/DataAnalysis_Diwali-Sales_project

Diwali_Analysis

Language: HTML - Size: 817 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

piyushkumargithub/Simple-EDA

Simple exploratory data analysis tool using streamlit

Language: Python - Size: 4.61 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 1

shruti23-ui/Diwali_Sales_Analysis

Diwali Sales Analysis: A data analysis project exploring Diwali sales trends, focusing on demographic insights like age and gender-based purchasing behavior. Uses Python for data cleaning, visualization, and insights extraction.

Language: Jupyter Notebook - Size: 839 KB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

MicheleNANA/Projet-3

OPTIMISEZ LA GESTION DES DONNEES D'UNE BOUTIQUE AVEC PYTHON

Language: Jupyter Notebook - Size: 116 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

RoryQo/Heart-Disease-Data-Lab

Select the most accurate Naive bayes model for predicting heart disease and explore the data by creating data visualizations (box plots, paired plots with distributions and scatter points, and 2 dimensional binning with seaborn and pandas

Language: Jupyter Notebook - Size: 4.89 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

SevilayMuni/Project-No.6-Tree-Based-Models

Random Forest Assisted Suggestions for Salifort Motors Employee Retention: Plan, Analyze, Construct and Execute

Language: Jupyter Notebook - Size: 5.99 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Jimmymugendi/Email-sms-Spam_Classifier

Email SMS Spam Classifier is a cutting-edge machine learning solution designed to combat spam messages in email and SMS communications. Leveraging advanced Natural Language Processing (NLP) techniques, the system preprocesses text data by tokenizing, removing stopwords, and stemming, ensuring the most accurate classification results.

Language: Jupyter Notebook - Size: 379 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

codeperfectplus/DataAnalysisWithJupyter

A Perfect Repository For Data Anaysis with Jupyter Notebook.:chart_with_upwards_trend::chart_with_downwards_trend:

Language: Jupyter Notebook - Size: 16.1 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 7

maheera421/Bulldozer-Price-Prediction-Model

Prediction of the auction prices of bulldozers using historical data.

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

maciekmalachowski/Machine-learning-algorithm-comparison

🤖📖 Application that compares most known ML algorithms and generates plots and markdown files.

Language: Python - Size: 46 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Demon-2-Angel/Sucide-Rate-Analysis

Research progression on Gapminder dataset work, the dataset has been taken from Welysen University coursera course on Data Viz.

Language: Jupyter Notebook - Size: 4.43 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

ShubhamMandowara/showcase_your_work

Showcase your work using streamlit and Gradio

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caesarmario/data-slices

Welcome to "Data Slices", where imagination and information converge, inviting you to see the world through a new lens of data-driven artistry.

Language: Jupyter Notebook - Size: 89.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 11 - Forks: 0

SwethaJoseph/Credit-Risk-Assessment-EDA-Case-Study

Conducted an Exploratory Data Analysis (EDA) using Python to assess credit risk, identifying key factors that contribute to loan defaults and improving lending decisions

Language: Jupyter Notebook - Size: 5.21 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

sondosaabed/Data-Visualization-with-Matplotlib-and-Seaborn

Learning to apply sound design and data visualization principles to the data analysis process. Also learning how to use analysis and visualizations to tell a story with data.

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Owuor7/Kenya-youtube-channels

About Kenya YouTube Channel Analysis The Kenya YouTube Channel Analysis project explores and analyzes Kenyan YouTube channels using data from the YouTube API. The project focuses on understanding video content, subscriber growth, and user engagement trends, providing insights into the performance and popular content types across different channels.

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Ritika821/TMDB-Movies-Python-Analysis

In this project we will be investigating the TMDB Dataset which is providing us with various useful information regarding movies and how good or bad they performed both qualitatively and quantitatively. Our aim is to get some insight into what makes movies get better reviews and get more viewers and hence make more revenues.

Language: Jupyter Notebook - Size: 6.45 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

mahnoorsheikh16/NLP-Approach-to-AI-Text-Classification Fork of andrew-jxhn/STT811_StatsProject

IBM/db2-event-store-iot-analytics 📦