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An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with matplotlib-pyplot

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

https://github.com/iamkushvanth/marketing-campaign-analysis

Data analysis comparing the performance of Facebook and AdWords ad campaigns in 2019, Using Statical Methods such as A/B test focusing on clicks, conversions, cost-effectiveness, and seasonal trends.

ab-testing hypothesis-testing linear-regression matplotlib-pyplot numpy pandas python regression-analysis scikit-learn scipy stastistics

Last synced: 07 Apr 2026

https://github.com/riyouuyt/investigate-hotel-business-using-data-visualization

Explore hospitality data, visualizing customer behavior in hotel reservations and its impact on cancellations for strategic insights.

businessreporting data-visualization hotel-booking jupyter-notebook matplotlib-pyplot presentation python

Last synced: 05 May 2026

https://github.com/lmizner/codecademy_stack_overflow_survey

Tackling missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques

boxplot catplot jupyter-notebook matplotlib-pyplot pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/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

applied-mathematics data-analysis data-science excel jupyter-notebook matplotlib-pyplot pandas portfolio python r r-studio seaborn sql statistics

Last synced: 12 Apr 2026

https://github.com/sumit0ubey/machine_learning

This repository showcases diverse machine learning projects, including: #Dimensional Reduction: Techniques for reducing feature space. #Ensembles: Methods like Gradient Boosting. #Supervised ML: Time series analysis and predictive modeling. #Unsupervised ML: Clustering and pattern discovery.

jupternotebook machine-learning matplotlib-pyplot pandas seaborn sklearn

Last synced: 05 May 2026

https://github.com/sanjanahombal/study-on-sentiment-analysis

This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.

bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer

Last synced: 07 Jan 2026

https://github.com/winterwind/housingpricesproject

A two-part project involving making predictions using various regressors and then implementing linear regression from scratch and predicting that way

csv csv-files data-science decision-tree gradient-descent jupyter jupyter-notebook knearest-neighbors knn linear-regression linear-regression-scratch machine-learning matplotlib matplotlib-pyplot numpy pandas python random-forest regression sklearn

Last synced: 12 Apr 2026

https://github.com/muhammedzohaib/awesome-matplotlib

A comprehensive guide for using python plotting library matplotlib which covers most of the necessary plots for data visualization.

matplotlib matplotlib-guide matplotlib-pyplot matplotlib-python matplotlib-tutorial

Last synced: 08 Jan 2026

https://github.com/sultanazhari/prediction-model-of-customers-leaving

Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.

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

Last synced: 20 Apr 2026

https://github.com/mpolinowski/principle-component-analysis

Improve Data Quality by discarding non-correlating, noisy Dimensions

crabs matplotlib-pyplot principal-component-analysis python scikitlearn-machine-learning

Last synced: 05 May 2026

https://github.com/darrendavy12/kafka-pyspark-e-commerce-store-real-time-streaming-dashboard

This project demonstrates an end-to-end real-time streaming analytics pipeline, designed to process high-clicked data and display insights on a live dashboard.

kafka matplotlib-pyplot python real-time sqllite streamlit

Last synced: 04 Sep 2025

https://github.com/lmizner/codecademy_life_expectancy_gdp

Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy

barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn

Last synced: 12 Apr 2026

https://github.com/nadahamdy217/movies-data-etl-using-python-gcp

Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.

analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn

Last synced: 06 Jan 2026

https://github.com/tapas-gope/diwali-sales-analysis

Analyze Diwali Sales Data to improve customer experience and sales.

exploratory-data-analysis matplotlib-pyplot numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/dakshdeephere/titanic_dataanalysis

Practicing the knowledge of data cleaning and EDA of Titanic dataset

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

Last synced: 05 May 2026

https://github.com/bhushan148/ipl-stats-analysis

This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.

jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 11 Apr 2026

https://github.com/vbhvsingh0/deforestation_rainfall_correlation

The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.

correlation-analysis data-science matplotlib-pyplot numpy pandas python3

Last synced: 29 Apr 2026

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 13 Apr 2026

https://github.com/winterwind/pca_project

A short two-part project that uses PCA (along with GMM in task 2); first with the fashion-NMIST dataset and then with fetch_lfw_people

data-science eigenfaces fashion-mnist fashion-mnist-dataset gaussian-mixture-models gmm jupyter-notebook machine-learning matplotlib matplotlib-pyplot pca pyplot python sklearn

Last synced: 11 May 2026

https://github.com/tapas-gope/telecommunication-customer-churn

This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.

feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn

Last synced: 12 Sep 2025

https://github.com/theadeelahmed/mall-customers-segmention

This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn

matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering

Last synced: 05 May 2026

https://github.com/hungryvovka/simple-square-plot

Simple matplotlib squre numbers scatter.

matplotlib-pyplot square-plot

Last synced: 03 Aug 2025

https://github.com/hms75/movie_rating_analysis

A movie rating analysis which identifies trends amongst a dataset of 5000 movies.

data-analysis data-visualization matplotlib-pyplot numpy pandas python

Last synced: 05 May 2026

https://github.com/sridharyadav07/image_segmentation-for-disaster-resilience

Image Segmentation for Disaster Resilience is a deep learning project developed for the FloodNet Challenge, focused on leveraging semantic segmentation to assist in flood impact analysis. Using a U-Net architecture, the model segments aerial imagery to detect key features such as flooded buildings, roads, water bodies, vegetation, and more.

datapreprocessing jupyter-notebook matplotlib-pyplot modelevaluation opencv patching pil python pytorch streamlit visualization

Last synced: 12 Apr 2026

https://github.com/jcm-ai/quantium-data-analytics-virtual-experience-program

This repository contains all about the proposed solutions to the assignments that I was required to complete as part of the Quantium Data Analytics Virtual Experience Program. 📊📈📉👨‍💻

commercial-thinking communication-skills data-analysis data-validation data-visualisation data-wrangling jupyter-notebook matplotlib-pyplot numpy-library pandas-python presentation-skills programming python3 scipy-stats seaborn statistical-testing

Last synced: 16 May 2026

https://github.com/yspandana/textanalysis_for_customersentiment

program reads a CSV file containing reviews and ratings, processes the reviews to extract useful information, and saves the processed data to a new CSV file. It also generates a word cloud of the top 50 words used in the reviews and a bar plot of the common parts of speech (POS) tags found in the reviews.

matplotlib-pyplot nltk-tokenizer python3

Last synced: 03 Aug 2025

https://github.com/rubada/machine-learning-with-ruba-dabbas

Advance your skills and start your career here, by taking the online courses on Intuidemy.

course learning machine machine-learning matplotlib matplotlib-pyplot models numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/priyapuranik/diwali-sales-analysis_with-data-visualization

Diwali sales data analysis with visualizations, highlighting customer demographics, product categories, and purchase trends.

data-visualization matplotlib-pyplot pandas python seaborn

Last synced: 06 May 2026

https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 06 May 2026

https://github.com/espacio-root/pyplotter

PyPlotter is a Neovim plugin designed to streamline Python plotting and code execution directly within the Neovim editor. It offers commands for creating temporary Python buffers, executing code, and saving output plots as PNG files.

graphing latex lua matplotlib-pyplot neovim neovim-plugin plotter python

Last synced: 21 Jan 2026

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: 12 Apr 2026

https://github.com/nishumehta/netflix-trends-data-analysis

Netflix Data: Cleaning, Analysis and Visualization

excel jupyter-notebook matplotlib-pyplot python python3 tableau

Last synced: 12 Apr 2026

https://github.com/pandaiscodingcpu/rocket_trajectory

A simple physics-based simulator to model the trajectory of a rocket based on initial conditions like thrust, drag, gravity, and atmospheric resistance.

matplotlib-pyplot numpy-library

Last synced: 29 Mar 2025

https://github.com/chandkund/iris-classification

Iris Classification project using machine learning to classify iris flowers into Setosa, Versicolour, and Virginica species. Includes data exploration, model training with SVM, Logistic Regression, and Decision Tree, and performance evaluation. Contributions welcome! Python, Pandas, Scikit-learn, Seaborn, Matplotlib.

machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 21 Jan 2026

https://github.com/matsjfunke/ufc-data-science

C<>de SE_42 Data Science Basics Project

matplotlib-pyplot pandas python seaborn-plots streamlit

Last synced: 12 May 2026

https://github.com/ebadshabbir/k-means-clustering

This repository demonstrates the implementation of the K-Means clustering algorithm to segment mall customers based on their annual income and spending behavior. By identifying distinct customer clusters, businesses can gain insights into customer groups and create targeted marketing strategies to improve customer engagement.

clustering jupyter-notebook k kmeans-clustering machine-learning matplotlib-pyplot pandas python sckit-learn

Last synced: 06 May 2026

https://github.com/tanay-dwivedi/electoral-bonds-data-analysis

The project analyzes purchasing behavior of electoral bonds through data visualization to gain insights into trends, denominations, key purchasers, and seasonal patterns, facilitating strategic decision-making in electoral funding strategies.

dataanalysis electoral-bonds-data matplotlib-pyplot python seaborn visualization

Last synced: 18 May 2026

https://github.com/naninsv/yulu-bike-rental-analysis

Assisting Yulu, India's micro-mobility provider, in understanding factors influencing shared electric cycle demand. Employing statistical tests and analysis on a dataset to identify significant predictors and gauge their impact on cycle demand.

data-visualization eda hypothesis-testing matplotlib-pyplot numpy-library pandas-library python scipy-stats seaborn-python statistical-analysis

Last synced: 13 May 2026

https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling

All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021

data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics

Last synced: 13 Apr 2026

https://github.com/hamzakamelen/numerical-integration

Numerical Integration - Midpoint, Trapezoid, Simpson's 1/3 and Simpson 3/8 Rule using Python

matplotlib-pyplot midpoint-method numerical-analysis numerical-integration python scipy simpson-1-3 simpson-3-8 streamlit trapezoidal-method

Last synced: 17 Feb 2026

https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office

Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.

data-analysis data-science data-visualization loop loops matplotlib matplotlib-pyplot netflix numpy office pandas python

Last synced: 11 Apr 2026

https://github.com/sanjaiveeran44/shopping-intent-analasys

This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.

matplotlib matplotlib-pyplot numpy pandas python3 sklearn tensorflow

Last synced: 13 Apr 2026

https://github.com/kemo321/heap

Heap implementation and comparison

comparison-benchmarks heap matplotlib-pyplot pytest

Last synced: 04 Jun 2026

https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly

Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.

data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/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

genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem

Last synced: 06 May 2026

https://github.com/sanjaykumhar/movie-recommendation-system

A comprehensive movie recommendation system that employs three fundamental recommendation techniques i.e. Demographic filtering, Content-Based filtering and Collaborative filtering.

cosine-similarity matplotlib-pyplot movie-recomendation-system python recommender-system scikitlearn-machine-learning svd-matrix-factorisation tf-idf

Last synced: 15 May 2026

https://github.com/alepm1990/nba-analytics

Análisis y trabajos en Python con BBDD deportivas

matplotlib-pyplot numpy pandas pyhon python3 seaborn

Last synced: 05 May 2026

https://github.com/mayankmittal29/algovision-statistical_methods_in_ai

Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics

decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm

Last synced: 11 Apr 2026

https://github.com/lefteris-souflas/economic-connectedness-analysis

Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.

analytics choropleth-map json jupyter-notebook matplotlib matplotlib-pyplot numpy pandas plotly-express python3 regplot scatterplot seaborn stata visualization

Last synced: 07 Apr 2026

https://github.com/tahirzia-1/image-quality-enhancement-using-lagrange-interpolation

Lagrange Interpolation on an image to enhance the quality by interpolating between the pixels, ultimately doubling or tripling the pixels

image-processing interpolation interpolation-methods interpolation-techniques lagrange lagrange-interpolation matplotlib-pyplot pil python scipy

Last synced: 06 May 2026

https://github.com/adadalshabab/machine-predictive-maintenance-classification

This repository hosts a machine predictive maintenance classification project, aimed at predicting the maintenance needs of industrial machinery before they fail. By leveraging machine learning algorithms, this project seeks to enhance operational efficiency and reduce downtime by identifying potential maintenance requirements proactively.

data data-science datanalysis datanalytics machine-learning machine-learning-algorithms matplotlib-pyplot pandas

Last synced: 17 May 2026

https://github.com/leftcoastnerdgirl/sql_and_sqlalchemy

This project introduces SQL coding via SQLAlchemy and continues to reinforce skills in data visualization through Matplotlib.

data-visualization jupyter-notebook matplotlib matplotlib-pyplot pandas-python sql sqlalchemy

Last synced: 24 Jun 2025

https://github.com/lingumd/neural_network_charity_analysis

Machine learning and neural networks used to create a binary classifier capable of predicting whether applicants will be successful if funded by Alphabet Soup.

deep-learning machine-learning matplotlib-pyplot neural-networks onehotencoder pandas scikit-learn seaborn standardscaler tensorflow

Last synced: 13 Apr 2026

https://github.com/jbizzlefoshizzle/weather_trends_vs_latitude

Pandas project analyzing possible correlation between latitude and max. temperature, wind speed, cloudiness, and humidity

json-api jupyter-notebook matplotlib-pyplot numpy weather-information

Last synced: 13 May 2026

https://github.com/aymen016/uber-analytics-dashboard

The Uber Analytics Dashboard is an interactive data visualization tool built with Streamlit. It helps analyze ride bookings, cancellations, revenue, and customer behavior with filters, KPIs, and charts. This dashboard enables businesses to gain actionable insights into ride demand and performance trends.

matplotlib-pyplot pandas plotly python seaborn streamlit

Last synced: 06 May 2026

https://github.com/chdl17/bike-sharing

MotorCycle sharing is a machine learning case study used to predict the demand for bikes in certain areas. It involves predicting the number of bikes available at a given time, and then adjusting the supply accordingly. Data such as weather, time of day, and the number of bikes already in use are used to make the predictions.

matplotlib-pyplot python scikitlearn-machine-learning seaborn

Last synced: 30 May 2026

https://github.com/dummumounika/ecommerce-sales-categorization

This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.

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

Last synced: 13 Apr 2026

https://github.com/bropenguin847/python-learning

Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.

array-manipulations convolution jupyter matlab matplotlib-pyplot numpy pandas-python pep8 python python3 scientific-programming scipy spyder-ide vscode

Last synced: 13 Apr 2026

https://github.com/nkosinathiz/financial-barriers-to-mobile-money

This project explores barriers to mobile money adoption in South Africa and selected Sub-Saharan African countries using World Bank Open Data. It analyzes 2024 datasets on financial access challenges, focusing on affordability and agent availability. The work includes data cleaning, statistical analysis, visualizations, and database integration.

jupyter-notebook matplotlib matplotlib-pyplot python python-3 seaborn streamlit

Last synced: 01 May 2026

https://github.com/kashifkhan7/cleaning-analysis_cli

Analyze sales data easily with our CLI app. Gain insights on revenue trends and visualize results using Python, Pandas, and Matplotlib. 🚀📊

conditional-statements css data datacleaning exception-handling exiftool html json matplotlib-pyplot metadata metadata-extraction pandas-python python sales-analysis seaborn-python speech-to-text transcription youtube

Last synced: 13 Apr 2026

https://github.com/jabulentee/a-b-testing-for-marketing-campaign

This repository contain project focused on evaluating the effectiveness of two different marketing strategies (Campaign A and Campaign B) to determine which one yielded better conversion rates.

ab-testing data-science hypothesis-testing matplotlib-pyplot pandas python scipy-stats ttest

Last synced: 13 Apr 2026

https://github.com/hungryvovka/random-walk

Random walk visualisation by using matplotlib.

matplotlib-pyplot random

Last synced: 05 Apr 2025

https://github.com/moonshallow5/solar-system-simulation

A solar system simulation using the Beeman scheme and the Euler method

matplotlib-animation matplotlib-pyplot numpy

Last synced: 13 May 2026

https://github.com/ozcankyo28/ds-ml-bootcamp

📊 Master data science and machine learning in one month with hands-on projects, covering the complete ML workflow from data collection to deployment.

data-science datascience jose-portilla lgbm lgbmregressor machine-learning matplotlib-pyplot python regression-models scikit-learn seaborn tensorflow udemy-course-project udemy-machine-learning

Last synced: 14 Apr 2026

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

The project involves comprehensive analysis of a weather dataset to uncover trends, correlations, and insights, facilitating informed decision-making in various sectors reliant on meteorological data.

dataanalysis matplotlib-pyplot plotly python seaborn visualization weatherdata

Last synced: 13 May 2026

https://github.com/elifftosunn/rfm-customers-analysis

RFM analysis focuses on identifying and segmenting customers based on their purchasing behavior. Analyzed to understand and interact with customers. It can be used together for more effective marketing and customer management strategies.

apriori-algorithm association-rules cohort-analysis datetime fpgrowth kmeans-clustering matplotlib-pyplot minmaxscaler numpy pandas python3 rfm rfm-analysis seaborn silhouette-score sklearn tableau

Last synced: 09 Apr 2026

https://github.com/shrutiijoshi/airbnb-listing-reviews

Airbnb is an online marketplace that connects people who want to rent out their homes with travelers seeking accommodations.

data-analysis matplotlib-pyplot pandas-python python seaborn

Last synced: 17 May 2026

https://github.com/lingumd/cryptocurrencies

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/lmizner/codecademy_foodwheel

Testing Matplotlib data visualization skills with these challenge projects

bar-chart group-by histogram jupyter-notebook matplotlib-pyplot mean pandas pie-chart python standard-deviation

Last synced: 06 May 2026

https://github.com/subratamondal1/heart-attack-prediction

Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.

data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/al-ghaly/global-warming-analysis

Analyze the effect of global warming on the average temperature of some of USA states.

matplotlib-pyplot numpy python python-visualization

Last synced: 10 May 2026

https://github.com/lmizner/codecademy_constellations

Testing Matplotlib data visualization skills with these challenge projects

2d-data-visualization 3d-data-visualization axes3d jupyter-notebook matplotlib-pyplot python scatterplot

Last synced: 01 May 2026

https://github.com/saravana1606/voting-system

With our voting system, every voter is guaranteed an accessible and secure voting method, This program allows the user to login and vote. Each voter have their own username and password. The admins can conduct elections, authenticate voters and display results in a graphical representation

colorama matplotlib-pyplot pip python pyttsx3 sql sqllite3

Last synced: 12 Jun 2026

https://github.com/lmizner/codecademy_roller_coaster

Testing Matplotlib data visualization skills with these challenge projects

bar-chart functions histogram jupyter-notebook line-plot matplotlib-pyplot pandas pie-chart python scatter-plot

Last synced: 07 May 2026

https://github.com/thekartikeyamishra/mood-dashboard

The Mood Dashboard is a Python-based interactive tool designed to lift your spirits and provide personalized recommendations based on your current mood. It combines fun and practicality, offering motivational quotes, jokes, and relaxing videos, along with a visual representation of mood distribution.

googlecolab ipywidgets jyputer-notebook matplotlib-pyplot python request

Last synced: 28 Apr 2026

https://github.com/steffin12-git/logistic-regression-social-network-ads-ml

Built an interpretable Logistic Regression model to predict whether a user will purchase a product from social network ads using demographic and behavioral features. The notebook demonstrates a complete ML workflow — data ingestion, preprocessing, scaling, modeling, evaluation, and visual diagnostics.

matplotlib-pyplot pandas python seaborn sklearn statistics

Last synced: 03 May 2026