GitHub topics: matplotlib-pyplot

Repositories

ShivangamSoni/LLM-ATS-Comparative-Analysis

Thesis Work: Performance Evaluation of LLMs for Automatic Text Summarization

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dmarro13/Chicago-Crime-Exploratory-Analysis

Exploratory data analysis on crime in Chicago from 2020 to 2024

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avtomatik/thesis

08.00.13 Mathematical and Instrumental Methods of Economics

Language: Python - Size: 2.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Prachi319/Credit-card-fraud-detection-using-Logistic-regression

Machine learning project (logistic regression)

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Abhay1706/Prediction-with-Regression

This repository showcases two machine learning projects built using linear regression. Each project demonstrates how regression models can be used to solve real-world business problems—predicting salaries and delivery times—by identifying relationships between key variables.

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rhazra-003/Footballer_Dashboard

A footballer dashboard made with matplotlib using data from Fbref and Understat

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AHMEDSANA/AHMEDSANA

I am an Artificial Intelligence Engineer with expertise in Machine Learning and Computer Vision.

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fedetony/Post_Processing_Gui

Make a general format for plots and import different data to have your plots with the same properties.

Language: Python - Size: 407 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AkashGupta2003/AirBNB

To analyse the AirBNB data give a valuable insights that can help company to grow

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rashi12121/AutoElite_Sales_Performance_Tracker

AutoElite is a leading car dealership operating across India. Following the launch of new showrooms in the East region in December 2023, the company set targeted sales goals for top car models: Hatchback, SUV, and Sedan. This project aims to analyze the variance between actual and budgeted sales across regions, states, and months.

Language: Python - Size: 87.9 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

chandutr/pokemon-stats-analysis

Data analysis and visualization of the Pokemon dataset using Pandas, NumPy, Matplotlib, and Seaborn. Includes exploration of base stats, type distributions, legendary status, and generational trends.

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chandutr/hr-job-change-analysis

Analysis of the HR Job Change of Data Scientists dataset using Pandas, NumPy, Matplotlib, and Seaborn. Explores factors influencing job change decisions, employee experience, and company-related trends.

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chandutr/fifa-data-analysis

Exploratory data analysis of FIFA player dataset using Pandas, NumPy, Matplotlib, and Seaborn. Includes insights into player attributes, overall ratings, positions, and club comparisons.

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XxnosexX23/projecto-cinema.py

projecto destinado hacia un cine con los clientes

Language: Python - Size: 11.7 KB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

chandutr/amazon-sales-analysis

Data analysis and visualization of Amazon sales data using Pandas, NumPy, Matplotlib, and Seaborn. Includes sales trends, top-performing products, and insights into customer behavior.

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chandutr/airbnb-nyc-2019-analysis

"Exploratory data analysis and visualization of the Airbnb NYC 2019 dataset using Pandas, NumPy, Matplotlib, and Seaborn. Includes insights on pricing, neighborhood trends, and availability."

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03173207141Ahsan/Data-Analysis-Project

A Data Analysis Repository is an organized collection of code, datasets, documentation, and visualizations designed to systematically explore, process, and derive insights from data. It serves as a centralized hub for reproducible analysis and collaboration.

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SomyaAgar/Uber_Data_Analysis

Data analysis of Uber rides in 2016 using Python to uncover trends, patterns, and actionable insights.

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Jabulente/effects-size-measurements

This repo implements scalable, reusable Python scripts to compute key effect size metrics—including Pearson’s r, Eta-squared, Partial Eta-squared, and Cohen’s d—to help quantify relationships and differences in data for statistical analysis.

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Emeraldugbeyide93/Undersampling-and-Oversampling-techniques-for-imbalanced-datasets

Beginner friendly project focusing on dataset imbalances using the oversampling and under sampling techniques

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drod75/nyc-arrests-analysis

This is a simple Data Science Project made to analyze and display data and trends found within the NYC Arrests Year to Date Dataset.

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VigneshKanna18/detecting-creditcard-fraud

ML model for detecting credit card fraud, with a focus on effectively reducing transaction risk.

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phi5ic/MCAML

Weather Data Analysis Model

Language: Python - Size: 15.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sheelusingh21/Credit_EDA

This project applies EDA techniques in a real-world banking context to analyze customer data, understand credit risk, and help financial institutions make informed lending decisions while minimizing the risk of financial loss.

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aman-theanalyst/data_analysis_python_learning_projects

A collection of beginner-to-intermediate Python data analysis projects completed as part of my learning journey.

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Abdiasarsene/Performance-Segmentation-Projet-ADABI

Ce projet vise à segmenter les clients en fonction de leurs habitudes d'achat, leur ancienneté et leur récence. Grâce à KMeans, nous avons identifié 3 groupes distincts qui permettent une meilleure compréhension et personnalisation des stratégies marketing.

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Kajal310595/Customer-Churn-Analysis

Customer Churn Analysis using Python and Jupyter Notebook to identify key factors influencing customer retention through data visualization and predictive insights.

Language: Jupyter Notebook - Size: 468 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

saimanish-p/pairs-trader-sim

A customisable pairs trading strategy simulator and dashboard.

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

sadielbartholomew/creative-matplotlib

Creative coding scripts and outputs using vanilla matplotlib

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SHASHANK123-code/heart-disease-prediction

ML model to predict cardiovascular disease

Size: 445 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

dripta-majumdar/Iris-flower-type-Prediction

I have predicted the type of Iris Flower it is based on sepal & Petal Length & width, using Logistic Regression

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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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alexdsbreslav/quicklooks

Creating attractive, ready-to-share data visualizations takes forever. quickooks is a cut-and-paste Python package that does the design work for you and makes it easy to create beautifully simple data visualizations.

Language: Python - Size: 8.67 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

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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andreasfuhr/sciplot

Format Matplotlib scientific plots

Language: Python - Size: 2.02 MB - Last synced at: 23 days ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 1

sorna-fast/Weather-forecasting-with-machine-learning

A dataset of meteorological sensors with data cleaning and finding the best learning model for forecasting

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akbarnaeem/netflix-data-analysis

📊 Netflix Data Analysis and Visualization using Python (pandas, matplotlib, seaborn)

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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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pmehta2612/Netflix_EDA

Performed EDA on Netflix's content dataset using Python, to uncover trends in content type, genres, ratings, and regional distribution for strategic insights.

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dripta-majumdar/Canada-s-per-Capita-income-Prediction-Single-Variable-

The data has been collected from the World Bank website. The predictions made by my model, of the per capita income of Canada in US $ has been provided in a csv file. Linear Regression algo has been used to make the predictions

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lorenzschmid/dynplot

Extends matplotlib's pyplot.plot() to allow for repetitive plotting to the same figure

Language: Python - Size: 9.77 KB - Last synced at: 9 days ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 0

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.

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OdessaZ/Portfolio-Projects

This is a repository I have created to showcase skills, share projects and track my progress in Data Analytics and Data Science

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ZaninV3/PT_n_MS

Теория вероятности и математическая статистика

Language: Python - Size: 80.1 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

RebeccaMorolong/MTN-Customer-Churn-Prdiction

Language: Jupyter Notebook - Size: 178 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

RebeccaMorolong/TelecomPrediction

This repository contains a project that uses machine learning pipeline to analyze telecom customer data and predict the likelihood of churn, using a Logistic Regression model and advanced preprocessing techniques

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Deekshithaa-Y-M/Python-Library-Basics-Numpy-Pandas-Matplotlib-Seaborn-

Python Libraries Basic Coding

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goatdev7/Early-Stage-Diabetes-Risk-Prediction

Machine Learning Model trained on Patients data to predict diabetes in a patient based on the input data points.

Language: Python - Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

felipeclarindo/projeto-aplicado

Applied Project - Exploratory Data Analysis (EDA) about the housing conditions in the state São Paulo (Brazil)

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frankndungu/f1-miami-prediction-2025

Miami 2025 F1 race predictions by Otto.rentals — built for fans who love speed, stats, and bold visuals.

Language: Python - Size: 1000 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

shyamsundar-r/Spam-Email-Detection-Naive-Bayes

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either Spam or Ham (Not Spam).

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marcoshsq/IBMDataScience

Repository containing the projects developed during the IBM Data Science Professional Certificate Specialization. Six in total.

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Suvroneel/Hotel-Booking-Records-LLM-Project

A comprehensive EDA and visualization project analyzing hotel booking patterns, cancellations, revenue trends, and customer behavior using Python,Matplotlib etc

Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

Exortions/Diabetes-Prediction-with-Neural-Networks

Predicting if a patient has diabetes based on a training set with an accuracy of ~80%

Language: Python - Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Pooja11sree/sentiment-analysis-on-whatsapp-chat

The Sentiment Analysis on WhatsApp Chat uses Python, NLP, and the VADER tool to analyze chat sentiment, with an added feature for URL extraction to identify the most frequently shared links.

Language: Python - Size: 1.58 MB - Last synced at: about 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

rabiakaur2005/pythoncode

The purpose of this project is to explore and analyze Goods and Services Tax (GST) revenue data collected from Indian states across months. The analysis reveals patterns, correlations, and trends in tax revenue to help in policy-making and financial planning.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 16 - Forks: 0

Leox2f/credit_card_customer_segmentation

Customer segmentation analysis on credit card users to identify distinct customer groups based on their behavior and characteristics. The analysis uses unsupervised machine learning techniques, specifically K-means clustering, to group customers into meaningful segments.

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

paulo-santos-ds/Desenvolvimento_pocos_petroleo

Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Ola-Kaznowska/fuzzy-membership-function

Fuzzy Membership Function Visualization – "Warm" Temperature

Language: Python - Size: 4.88 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

abhay-sinha-0/CarPricePredictionProject

A machine learning project that predicts the selling price of a car based on its features such as year, mileage, fuel type, transmission, and more. This model can assist individuals and dealerships in estimating fair market prices for used cars.

Size: 212 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

amiridk/MachineLearning

machine-learning-notes

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Aphexrage/Audio-para-texto

Sistema inteligente de transcrição de áudio que detecta e classifica dois tipos principais de indicadores no ambiente.

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Abdoelabassi/data-science-certification-exam

Datacamp data science certification exam lab

Language: Jupyter Notebook - Size: 273 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

bmarroc/data-science

Jupyter notebooks implementing Data Science projects

Language: Jupyter Notebook - Size: 22.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

sarvatfatima/socio-economic-and-income-analysis-project

This project performs an in-depth analysis of a structured socioeconomic dataset containing demographic, educational, occupational, and financial information

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DataSpieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

Language: Jupyter Notebook - Size: 200 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

Divyansh1405/Python-Projects

Language: Python - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

mudiittk/data-analysis-using-python

Developed a comprehensive exploratory data analysis (EDA) of a vehicle repairs dataset, uncovering patterns in repair types, costs, and vehicle platforms. Includes data cleaning, insights extraction, tag generation from free-text fields, and saving of cleaned datasets for further analysis.

Language: Jupyter Notebook - Size: 312 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Ashish-Kaklotar/Data-Science-Projects

A collection of Data Science projects covering data analysis, visualization , statistical modeling , and real-world datasets.

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fowzan2744/whatsapp-chat-analyzer

A Data Science - Data Analytics Application that analyses the Whatsapp chats

Language: Python - Size: 43 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

amirulshafiq98/honey

Honey project I did back in my internship at Chiang Mai University to predict the best conditions for storage after 6 weeks

Language: Python - Size: 43 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

somyaaaaaa2004/travelling-sales-man-problem

This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial

Language: Jupyter Notebook - Size: 698 KB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

attilamester/mortgage-simulator

Mortgage simulator, plotter: visualize the cumulative interest & principal trends

Language: Jupyter Notebook - Size: 228 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

predragcitic14/quantum-os

Quantum-OS is an innovative operating system designed to harness the power of quantum computing. It simplifies complex quantum algorithms, making them accessible for developers and researchers.

Language: Shell - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Marlyn-Mayienga/Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends

This project combines weekly epidemiological case counts of pneumonic plague in Madagascar (Aug–Nov 2017) with Google Trends data for related search terms to explore how online interest tracks—and even predicts—disease spread.

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Marlyn-Mayienga/Inferring-Mobility-from-Mobile-Phone-Data

This project analyzes mobile phone call detail records from Togo to uncover patterns in user behavior and movement. It calculates key usage statistics, maps cell towers distribution, and applies two algorithms to infer each subscriber’s likely home prefecture.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Marlyn-Mayienga/Titanic-Survival-Prediction

Predicting passenger survival on the Titanic using an ensemble machine learning approach, achieving a Kaggle score of 0.77990. This project leverages stacking with Random Forest, Gradient Boosting, and SVM, enhanced by feature engineering and hyperparameter tuning, to model survival patterns effectively.

Language: Jupyter Notebook - Size: 590 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

alvinadar/Decision-Tree

Decision Tree Implementation -Prediction of enjoy hiking

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Nikol2004/Social-Network-Analysis-2024

Built and analyzed a social network graph using Python and NetworkX. Explored key metrics like centrality, density, and community structure to uncover hidden patterns in connections.

Language: Jupyter Notebook - Size: 4.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

priyanshubiswas-tech/Banking-EDA-Insights

End-to-end EDA of banking data with SQL-Jupyter integration, data cleaning, and visualizations using pandas, seaborn, matplotlib, and plotly. Key insights on customer behavior and campaign response. Includes a Power BI dashboard for KPI tracking and segmentation analysis.

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

harshineeshree/EDA

Exploratory Data Analysis

Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

FaizanZaheerGit/DDoS-Detection-ML

Various supervised machine learning techniques on the highly optimized NSL-KDD dataset to create an efficient and accurate predictor of possible intrusions on a network.

Language: Python - Size: 2.59 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

RiddhiDhara/Data-Science

This repo consists of data analysis and visualization using python

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

DylanJohnston/Data-Analysis-Cryptocurrency

A data analysis project utilising numpy, pandas, matplotlib and more to analyse historical cryptocurrency prices with respect to the Bitcoin halvings, cycle extrema, and sentimental indicators.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 2 - Forks: 1

amanraj-creator/EDA-and-ML-Based-Zomato-Restaurant-Popularity-Prediction

This project harnesses the power of Exploratory Data Analysis (EDA) and Machine Learning (ML) to predict the popularity of restaurants on Zomato. By analyzing key factors such as ratings, reviews, Order type and pricing, the model uncovers trends that influence a restaurant’s success.

Language: Jupyter Notebook - Size: 323 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0