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Projects in Awesome Lists tagged with matplotlib-pyplot

A curated list of projects in awesome lists tagged with matplotlib-pyplot .

https://github.com/tanay-dwivedi/wiki-scraper

This Streamlit app enables users to input a Wikipedia page URL for content, summary, images, references, top 10 words, and sentiment analysis, presenting concise insights with visual elements.

matplotlib-pyplot pandas python streamlit textblob-sentiment-analysis wikipedia

Last synced: 16 Apr 2026

https://github.com/adamouization/superconductors-critical-temperature-predictions-regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy

Last synced: 12 Apr 2026

https://github.com/supershivam5/python_projects

💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!

matplotlib-pyplot numpy pandas scikit-learn seaborn

Last synced: 17 Apr 2026

https://github.com/saurabh274/aerofit-statistics-and-probability

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 08 May 2026

https://github.com/flaviohnm/recomendation_system

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

machine-learning matplotlib-pyplot pandas-python seaborn-plots unsupervised-learning

Last synced: 08 Sep 2025

https://github.com/jnrlouis/medical-data-visualiser

Visualization and calculations were made from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.

matplotlib-pyplot pandas-dataframe seaborn

Last synced: 14 Jun 2026

https://github.com/akshitvats026/heart_disease_prediction

An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.

accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/tanay-dwivedi/london-bike-sharing-data-analysis

The project aims to conduct in-depth analysis of the London Bike Sharing dataset to discern usage patterns and influential factors impacting bike rental counts, facilitating informed decision-making for stakeholders.

bike-sharing dataanalysis dataset matplotlib-pyplot plotly-express python seaborn visualization

Last synced: 25 Apr 2026

https://github.com/lingumd/surfs_up

Analysis on temperature data for surf and ice cream shop using Python, Pandas, and SQLAlchemy.

jupyterlab matplotlib-pyplot pandas python sqlalchemy statistics summary-statistics

Last synced: 17 Apr 2026

https://github.com/arnoldchrisoduor1/eda-udemy-dataset

Exploratory Data Analysis of the Udemy Courses Data Set.

jupyter-notebook matplotlib-pyplot pandas python3 seaborn

Last synced: 17 Apr 2026

https://github.com/shreeparab1890/india-gdp-rate-1960-to-2021-data-analysis

This ipython notebook is the Exploratory data analysis (EDA) of the India GDP Rate 1960 to 2021.

analysis data-analysis eda exploratory-data-analysis ipython-notebook jyputer-notebook matplotlib matplotlib-pyplot pandas python

Last synced: 06 Mar 2026

https://github.com/tashi-2004/deep-learning-grid-world-q-learning

Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!

agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training

Last synced: 17 Apr 2026

https://github.com/tanay-dwivedi/london-housing-data-analysis

The project involves conducting a comprehensive analysis of London's housing data to extract valuable insights, support decision-making processes, and identify potential issues within the housing market.

dataanalysis houseprice matplotlib-pyplot plotly-express python seaborn visualization

Last synced: 17 Apr 2026

https://github.com/varakanthamsaihruthikreddy975/champo_carpets_case_analysis_python

the champo carpets case study Analysis in python, this is still under development this will be a more comprehensive analysis than previous one in R. I have the complete version of code in R refer to this link - ( https://github.com/VarakanthamSaiHruthikReddy975/Champo_Carpets_Case_Study_Analysis)

case-analysis jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python3 seaborn

Last synced: 17 Apr 2026

https://github.com/darkdk123/house-valuation-model

A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.

data-analysis data-science data-visualization matplotlib-pyplot multivariate-regression predictive-modeling statistics

Last synced: 07 Jul 2025

https://github.com/mpolinowski/multi-dimensional-scaling

Multidimensional Scaling is a family of statistical methods that focus on creating mappings of items based on distance.

matplotlib-pyplot multi-dimensional-scaling python scikit-learn

Last synced: 09 May 2026

https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 18 Apr 2026

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 05 Apr 2026

https://github.com/mohamedbilal1800/olympic_history_data_analysis

This project delves into the 120 Years of Olympic History: Athletes and Results dataset, analyzing athlete demographics, medal achievements, and country performances across the Summer and Winter Olympics from 1896 to 2016.

analysis data eda matplotlib-pyplot pandas python seaborn visulaization

Last synced: 09 May 2026

https://github.com/sayed-ashfaq/walmart_dataanalysis

This project focuses on extracting insights from raw data through various analyses, including exploring distributions, visualizing data with plots, and calculating measures of central tendency. The goal is to uncover meaningful patterns and trends within the dataset.

boxplot-visualization matplotlib-pyplot normal-distribution numpy-library pandas-dataframe python seaborn

Last synced: 18 Apr 2026

https://github.com/jigyasag18/iit-guhawati-final-capstone-project

Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.

bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit

Last synced: 05 Apr 2026

https://github.com/chengetanaim/suicide_rates_overview

This is a data analysis project where I analyze the suicide rates of certain countries provided by the dataset from 1985 to 2016.

dataanalysis datavisualization matplotlib-pyplot pandas

Last synced: 18 Apr 2026

https://github.com/faizantkhan/machine-learning

Machine Learning Practice and Exercises Welcome to our repository dedicated to the practice and mastery of machine learning (ML) concepts and techniques. This repository serves as a comprehensive resource for learners and enthusiasts looking to enhance their ML skills through hands-on exercises and practical applications.

classification-algorithm clustering-algorithm data-science datavisualization decision-trees eda linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-library math matplotlib-pyplot model-selection pandas python sklearn-library testing-data training-data

Last synced: 18 Apr 2026

https://github.com/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total

Last synced: 09 May 2026

https://github.com/rhazra-003/modelinglab

Assignment - Solution of Modeling Lab of 7th Semester (Batch of 2023) of NIT Durgapur

jupyter-notebook matplotlib-pyplot numpy pandas python3 shapely

Last synced: 19 Apr 2026

https://github.com/tanay-dwivedi/economic-data-analysis

The project aims to analyze and visualize economic indicators, including the S&P 500 index and unemployment rates across U.S. states, using data retrieved from the FRED API.

dataanalysis fred-api matplotlib-pyplot python vsualization

Last synced: 09 May 2026

https://github.com/theadeelahmed/twitter_sentiment_analysis

"Twitter/X Sentiment Analysis using NLP! Analyze public opinions by processing tweets and classifying sentiments (Positive, Neutral, Negative) with Natural Language Processing. Gain valuable insights into trends and emotions! "

ai matplotlib-pyplot nlp-library nltk-python pandas python3 twitter

Last synced: 09 May 2026

https://github.com/bharath-tars/modelml

Model for Diabetes Prediction using Machine Learning

docpilot flask heroku matplotlib-pyplot numpy pandas seaborn sklearn smtp

Last synced: 19 Apr 2026

https://github.com/renukadhule/airbnb_listings_and_reviews_python_analysis

Explore Airbnb listings and reviews from over 250,000 properties across 10 major cities. Dive into data on listing details, host information, pricing, and customer reviews for better insights

matplotlib-pyplot numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression

A machine learning model for "House Prices: Advanced Regression Techniques" kaggle competition.

machine-learning-algorithms matplotlib-pyplot numpy pandas python3 scikit-learn

Last synced: 20 Apr 2026

https://github.com/chdl17/lead-score-case-study

Lead scoring is the process of assigning a numerical value or score to each lead, based on factors such as demographics and behavior, to determine their potential value as customers.

machine-learning-algorithms matplotlib-pyplot python scikit-learn

Last synced: 20 Apr 2026

https://github.com/gourav052003/advanced-hr-analytics-for-talent-acquisition-and-employee-retention

HR analytics, also referred to as people analytics, workforce analytics, or talent analytics, involves gathering together, analyzing, and reporting HR data.

classification confusion-matrix matplotlib-pyplot python sklearn-library

Last synced: 20 Apr 2026

https://github.com/carol-neto/sprint-4-statistical-data-analysis

In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.

matplotlib-pyplot numpy pandas pytho scipy-stats seaborn statistical-analysis

Last synced: 09 May 2026

https://github.com/mpolinowski/fisher-discriminant-analysis

LDA is a widely used dimensionality reduction technique built on Fisher’s linear discriminant.

linear-discriminant-analysis matplotlib-pyplot python scikit-learn

Last synced: 10 May 2026

https://github.com/diyaagarwal11/stock_analysis_eda

A data-driven stock market analysis project that explores single-stock performance, multi-stock comparisons, outlier detection, and data visualization. Using Python, Pandas, Matplotlib, and Seaborn, this project uncovers key financial insights and market trends.

matplotlib-pyplot python3 seaborn

Last synced: 05 Jun 2026

https://github.com/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

iris-dataset logistic-regression matplotlib-pyplot seaborn sklearn

Last synced: 24 Apr 2026

https://github.com/leftcoastnerdgirl/world_weather_analysis

This project demonstrates how to use an API link to pull data from a website for analysis.

api jupyter-notebook linear-regression matplotlib matplotlib-pyplot pandas-python scipy urllib

Last synced: 24 Apr 2026

https://github.com/shrutiijoshi/shark-tank-india-analysis

It shows entrepreneurs making business presentations to a panel of investors or sharks, who decide whether to invest in their company.

analysis kaggle-dataset matplotlib-pyplot pandas-python python seaborn

Last synced: 25 Apr 2026

https://github.com/siddheshk599/student-management-system-python3

An easy to use Student Management System developed using Python to add, update, delete and view student's records. This software also gives an option to view the bar chart of the marks of students to get visual representation of the data.

beautifulsoup4 crud-application matplotlib-pyplot mysql python3 requests-module

Last synced: 25 Apr 2026

https://github.com/chengetanaim/smokers-health-analysis

During this mini project I was looking for the impact of smoking on various health factors.

dataanalysis matplotlib-pyplot pandas

Last synced: 26 Apr 2026

https://github.com/jnrlouis/page-view-time-series-visualizer

Project Four (4) at the end of the Data Analysis with Python on FreeCodeCamp

matplotlib-pyplot pandas-dataframe seaborn

Last synced: 07 Jun 2026

https://github.com/nishumehta/uber-rides-data-analysis

An in-depth analysis of Uber ride data for the year 2016, to uncover patterns in ride behavior, mileage trends, and frequent start locations to generate actionable insights for business decisions.

data-analysis jupyter-notebook matplotlib-pyplot pandas python tableau-dashboards

Last synced: 09 May 2026

https://github.com/steffin12-git/logistic-regression-daibetics

Built an interpretable Logistic Regression model to predict diabetes from clinical features; produced reproducible EDA, model validation, and visual diagnostics.

insights matplotlib-pyplot model-evaluation pandas python seaborn sklearn

Last synced: 28 Apr 2026

https://github.com/varakanthamsaihruthikreddy975/avocadopricesanalysis

This data analysis finds out the trends and analysis of avocado data by year

matplotlib-pyplot numpy pandas scipy scipy-stats seaborn sklearn-preprocessing

Last synced: 28 Apr 2026

https://github.com/anshpg/popularity-based-book-recommendation-system

I developed a popularity-based book recommendation system using Google Colab, leveraging libraries like pandas, numpy, and matplotlib. The dataset was obtained from Kaggle.com, consisting of three CSV files: books.csv, ratings.csv, and users.csv.

collab csv kaggle-dataset matplotlib-pyplot numpy pandas python

Last synced: 28 Apr 2026

https://github.com/vipulbunny/student-grades-data-analysis-using-json

This project focuses on analyzing student grades using a dataset stored in JSON format. The dataset includes student IDs, class IDs, and different types of scores (exam, quiz, and homework). The objective is to extract, clean, and analyze the data using Python, Pandas, and Matplotlib/Seaborn for visualization.

data-cleaning data-science dataanalysis json-handling matplotlib matplotlib-pyplot pandas python python3 seaborn student-performance-analysis web-scraping

Last synced: 28 Apr 2026

https://github.com/ddeepanshu-997/datascience--olympics-games

in this repository i am going to perform some datascience techinques on the datasaet in order to get the valuable insights with the help of python libraries , packages etc.

data-science exploratory-data-analysis insights matplotlib-pyplot numpy pandas-dataframe problem-solving python visualization

Last synced: 28 Apr 2026

https://github.com/yewomhango/drawgraph

Draws graphs using Python's matplotlib library

graph graphs matplotlib matplotlib-pyplot python

Last synced: 08 Jun 2026

https://github.com/tanay-dwivedi/animes-data-analysis

Analyzing a dataset of anime details to uncover trends in content, popularity, and quality, aiding decision-making in the anime industry.

animedata dataanalysis matplotlib-pyplot plotly python seaborn visualization

Last synced: 20 Jun 2026

https://github.com/corey-richardson/archery-linear-regression

A Flask web application that allows the user to view and add scores to a dataframe, and uses these values in a linear regression model to estimate their average arrow score at different distances.

css csv flask html matplotlib-pyplot python3

Last synced: 11 May 2026

https://github.com/lingumd/pyber_analysis

Created summary DataFrame of ride-sharing data by city type using Python and multiple-line graph of weekly fares by city type using Pandas and Matplotlib.

groupby-method jupyterlab matplotlib-pyplot pandas-loc pandas-python pivot python resample

Last synced: 29 Apr 2026

https://github.com/tkphd/logistic-map

Generate & plot the Logistic Map with Python

fractal-images logistic-map matplotlib-pyplot python sympy

Last synced: 08 Jun 2026

https://github.com/mpolinowski/tstochastic-neighbor-embedding

Improve Data Quality by discarding non-correlating, noisy Dimensions

matplotlib-pyplot python scikit-learn t-sne

Last synced: 11 May 2026

https://github.com/haikokrais/homedataviewer

Show the weather in your city and the forecast for the next day. Also view measurements and graphs form your own temperature and humidity measurements

city forecast humidity kivy kivy-garden matplotlib-pyplot measurements openweathermap-api python temperature weather

Last synced: 09 Apr 2025

https://github.com/jack-thesparrow/tube-color-detect

A Python program that detects the colors stored in tubes and returns a JSON file.

matplotlib-pyplot numpy opencv python3 sklearn

Last synced: 29 Apr 2026

https://github.com/sakshijain009/minor-project-ml-in-python

Exploratory Data analysis on data using python

matplotlib-pyplot ml numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/abhishek010397/tigerprediction-machinelearning

Machine Learning Prediction Model Using Multiple Regression to predict Tiger Population in India

keras-tensorflow matplotlib-pyplot multiple-linear-regression numpy pandas python3 r2 sklearn

Last synced: 29 Apr 2026

https://github.com/arnoldchrisoduor1/data_analysis_web-app_with_streamlit

I created a simple web app using python, and streamlit that helps one to see an overview of a dataset and automate the process of data cleaning in pandas.

matplotlib-pyplot pandas python3 seaborn spyder streamlit

Last synced: 11 May 2026

https://github.com/rebeccamorolong/mtn-customer-churn-prdiction

This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predictions enable targeted retention efforts.

anova-test matplotlib-pyplot numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/giacomolat/realestateai-solutions---a-forecasting-model-for-the-housing-market

This project applies regularization techniques (Ridge, Lasso, and Elastic Net) to improve real estate price forecasting. This project focuses on reducing overfitting and increasing the stability of regression models' predictions

cross-validation elasticnet-regression lasso-regression-model machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas python regularization-methods regularization-to-avoid-overfitting ridge-regression-model seaborn standardization

Last synced: 01 May 2026

https://github.com/victor-gp/tfg-h16b

The code for my bachelor's thesis, a numerical exploration of the second part of Hilbert's 16th problem

bachelor-thesis dynamical-systems matplotlib-pyplot numpy odeint

Last synced: 30 Apr 2026

https://github.com/sjain2580/simple-linear-regression-model

This project demonstrates a simple, yet robust, multiple linear regression model built with Python and scikit-learn to predict median house values in California.

joblib linear-regression matplotlib matplotlib-pyplot numpy python scikit-learn

Last synced: 30 Apr 2026

https://github.com/avazasgarov/soccer-hypothesis-testing

Statistical analysis comparing goal-scoring patterns in Men’s vs. Women’s FIFA World Cups using hypothesis testing.

data-analysis eda hypothesis-testing matplotlib-pyplot pandas pingouin python scipy

Last synced: 30 Apr 2026

https://github.com/ebadshabbir/naive_bayes_classification-gaussain-

A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model training, prediction, and visualization of decision boundaries for both training and test datasets.

classification gaussian jupyter-notebook machine-learning matplotlib-pyplot naive-bayes-classifier numpy pandas python

Last synced: 30 Apr 2026

https://github.com/gabboraron/python_nyelvtan

Egy python nyelvi elemekkel fogallkozó kurzus jegyzete.

ai matplotlib-pyplot numpy pandas

Last synced: 30 Apr 2026