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

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/urvee1810/market_basket_analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/rohitinu6/image_cartoonify

To Cartoonify an Image using opencv-python

image-processing matplotlib numpy opencv opencv-python python

Last synced: 12 Apr 2026

https://github.com/ebrahimar/ai-voice-cloner-xtts-v2

A Streamlit web app for AI-powered voice cloning using Coqui XTTS v2. Record or upload reference voices, clone speech in multiple languages, and generate natural audio outputs.

ai-voice coqui-tts deep-learning json multilingual-tts numpy pydub python speech-synthesis streamlit text-to-speech tts-model voice-cloning xtts-v2

Last synced: 03 May 2026

https://github.com/tnleite/credit-card-customer-clustering

Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 07 May 2026

https://github.com/arrmansa/leetcode-nice-solutions

Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be

leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3

Last synced: 16 Mar 2025

https://github.com/rahulsm20/insurance-data

A data analytics project dealing with risk assessment and it's effects in health insurance.

data-analysis data-analytics machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/hrolive/fundamentals-of-accelerated-data-science

How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.

accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost

Last synced: 12 Apr 2026

https://github.com/sumitkundu102022/ecobuddy

EcoBuddy: Personalized Carbon Footprint Tracker

bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit

Last synced: 12 Apr 2026

https://github.com/moustafamohamed01/car-price-prediction

Car Price Prediction using Linear Regression A machine learning model that predicts car prices based on features like name, company, year, kilometers driven, and fuel type. Built with Linear Regression and deployed as a Streamlit web app.

data-science jupyter-notebook linear-regression machine-learning numpy pandas python sickit-learn sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/naveen88112/healthcare

HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.

data-visualization feature-engineering machine-learning model-evaluation numpy pandas python scikitlearn-machine-learning

Last synced: 12 Apr 2026

https://github.com/kersh1337228/tradenv

Trading strategies testing environment based on open stock market data

django django-rest-framework numpy pandas python react stock-market typescript

Last synced: 11 Apr 2026

https://github.com/yelypk/nasa-farm-navigators

NASA Space Apps Challenge Hackathon

fastapi javascript numpy phaser postgresql python railway

Last synced: 11 Apr 2026

https://github.com/apal21/tensorflow-linear-regression-fit-data

Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.

gradient-descent linear-regression numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/pb319/california_house-price-prediction

This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".

evaluation-metrics hyperparameter-tuning jupyter-notebook kfold-cross-validation machine-learning matplotlib numpy pandas python scikit-learn seaborn train-test-split

Last synced: 11 Apr 2026

https://github.com/mostafa-ghorab/global-happiness-analysis

An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.

business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/nikhil-donthusaram/heartdiseaseprediction

Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.

data-analysis descision-tree joblib jupyter-notebook machine-learning matplotlib numpy pandas python3 seaborn sklearn streamlit vscode

Last synced: 11 Apr 2026

https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap

Last synced: 11 Apr 2026

https://github.com/batthulavinay/which-anime-dominates-the-world

This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.

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

Last synced: 24 Mar 2025

https://github.com/elmezianech/email-spam-ham-classifier-nb-hard

Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.

ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 11 Apr 2026

https://github.com/pedroteixeiraw/predicting_football_match_results

This project focuses on modelling the attacking and defensive strength of teams in the Portuguese First League of Football, along with the impact of home advantage.

bayesian-hierarchical-models dixon-coles matplotlib numpy pandas poisson-distribution pymc3 seaborn theano-models

Last synced: 26 Apr 2026

https://github.com/gregoritsch3/project_radioactive_decay

An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.

cplusplus matplotlib montecarlo-simulation numerical-methods numpy python radioactive-decay scipy

Last synced: 12 Apr 2026

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine

Last synced: 12 Apr 2026

https://github.com/snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

liner-regestion multiple-regression numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/filip-kustura/python-covid-19-behaviors-analysis

Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.

covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project

Last synced: 12 Apr 2026

https://github.com/trim0500/fe-stats-classifier

An experiment to create a machine learning model via PyTorch to classify select Fire Emblem unit base stat distributions.

creational-patterns data-analysis data-science data-visualization design-patterns excel jupyter jupyter-notebook matplotlib-pyplot numpy pandas python python-modules python3 pytorch singleton

Last synced: 11 Apr 2026

https://github.com/lijesh010/employeeanalysis-

This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability

Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.

colab-notebook numpy pandas probability python stats

Last synced: 11 Apr 2026

https://github.com/dharma-acha/resnet18_imageclassification_cnn

In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.

matplotlib numpy python3 pytorch scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/lorenzorottigni/ml-universities

Machine Learning python bootcamp: K mean clustering with public/private universities dataset

k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/rizkyrajitha/ann_101

A really simple neural network for binary classification written from scratch using python

jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/alisonmitchell/countries-of-the-world

Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).

data-science machine-learning matplotlib numpy pandas python seaborn

Last synced: 12 Apr 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/22p31a0512/sentimental-analysis

Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.

feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization

Last synced: 12 Apr 2026

https://github.com/akashkg03/facial-expression-image-classification

This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.

jupiter-notebook numpy pandas python

Last synced: 28 Apr 2026

https://github.com/nagipragalathan/zk-connect

In the conventional hiring process, candidate applications are met with limited assessment, leaving the crucial task of evaluating suitability to recruiters. ZKConnect disrupts this norm by introducing a transformative approach.

css django html nextjs numpy opencv pandas python

Last synced: 11 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/vyjayanthipolapragada/fraud_detection_creditcard

Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML

classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model

Last synced: 11 Apr 2026

https://github.com/sonatipek/matris_transactions_py

My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python

matrix numpy numpy-arrays python sonatipek

Last synced: 24 Mar 2025

https://github.com/sothulthorn/stock-prediction-portal

The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.

axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance

Last synced: 02 Apr 2026

https://github.com/vasulab/knightshock

Shock tube experiment planning and data analysis package.

cantera data-analysis matplotlib numpy shock-tube

Last synced: 18 Jul 2025

https://github.com/sakhileln/multimodal-chatbot-with-memory

A lightweight, CLI-based conversational agent that processes text and image inputs, remembers past interactions.

chatbot machine-learning nlp numpy opencv spacy tensorflow

Last synced: 11 Apr 2026

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 12 Apr 2026

https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning

🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.

agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow

Last synced: 12 Apr 2026

https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN

Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow

Last synced: 12 Apr 2026

https://github.com/ebadshabbir/logistic_regression-binomial-

Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.

classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/iaroslavbelavskii/statkemapp

Here's the code for my 'StatKemApp' app, that can be used to calculate statistics for the experimental laboratory data (e.g. titration). Feel free to use it and report any bugs!

chemical-engineering chemistry matplotlib-pyplot numpy pandas python scipy

Last synced: 11 Apr 2026

https://github.com/prathush-kumar/fake_news_detection

Developed an intelligent system to identify and classify fake news articles using Natural Language Processing (NLP) and Machine Learning techniques.

classification machine-learning natural-language-processing numpy pandas sklearn-library

Last synced: 26 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/reckonsys/datascience-docker

A docker image with numpy, scipy, nltk and pandas pre-installed with pip

docker docker-image dockerfile nltk numpy pandas scipy

Last synced: 10 Mar 2025

https://github.com/the-developer-306/fake-review-detector

This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.

classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis

Last synced: 12 Apr 2026

https://github.com/andrewzhoumq123/sci_graph_api

Generates different types of detailed plots for scientific data

fastapi h5py json matplotlib numpy pandas scipy

Last synced: 12 Apr 2026

https://github.com/samuele-lolli/data-analytics-techniques

A practical approach to data analytics pipeline.

numpy pandas pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/amiriiw/text_classification

Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.

keras numpy pandas pickle scikit-learn tensorflow text-classification

Last synced: 20 Jan 2026

https://github.com/ahmedabdalkreem/animals_classification

This project is dependent to make classification between faces of cats, dogs and wild_animals and use multiple model such as CNN and pretrained model like ResNet and MobileNet and show the result of all model in the image using heatmap to know what is the part that model take decision when see it.

classification cnn heatmap matplotlib mobilenet numpy opencv pandas pretrained-models python restnet

Last synced: 12 Apr 2026

https://github.com/shubhamahobia/lstm-hamlet

The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.

deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python

Last synced: 11 Apr 2026

https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler

Last synced: 12 Apr 2026

https://github.com/soumyapro/heart-disease-prediction

This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.

logistic-regression numpy pandas simpleimputer sklearn

Last synced: 21 Jan 2026

https://github.com/abhisingam/brickbreaker

A Terminal-Based game made in Python that emphasises upon the use of OOPs concepts. Python | NumPy | Game Development

game-development numpy python3

Last synced: 26 Apr 2026

https://github.com/hariprasath-v/av_job-a-thon-august-2022

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/whiteshadow1234/guessthenumber

This is the python code for teaching high school students python

math numpy python3 random teaching-materials turtle

Last synced: 27 Apr 2026

https://github.com/nak-dt/deep-decision-forest

A custom ensemble tree model inspired by Deep Forest

ai machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 03 May 2026

https://github.com/chernyakid/bank-clients-churn-research

Анализ оттока клиентов в Метанпромбанке

jupyter numpy pandas python scipy seaborn

Last synced: 11 Apr 2026

https://github.com/linsanity03/football_prediction

ML project to predict goal from football events such as penalty, free kick.

jupyter-notebook numpy pandas pyspark python3 tensorflow

Last synced: 11 Apr 2026

https://github.com/linggarm/priority-task-selection-using-evolutionary-programming

A web app that utilizes Evolutionary Programming to determine and prioritize tasks for efficient scheduling.

artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python

Last synced: 12 Apr 2026

https://github.com/raghavendra317/brain-tumor-detection

A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.

cnn-classification keras numpy opencv scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/ansh-info/industrial-scale-penicillin-simulation

Optimizing industrial-scale penicillin production using machine learning and data analysis.

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

Last synced: 11 Apr 2026

https://github.com/adamouization/python-machine-learning-data-science-notes

:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.

data data-science data-visualization guide jupyter jupyter-notebook machine-learning matplotlib notes numpy pandas pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/jminjares4/selected-areas-in-networks

Assignments for Selected Areas in Networks (EE 5390)

matplotlib network-analysis numpy pandas python

Last synced: 08 May 2026

https://github.com/arnauog/ironhack_data_analytics

Weekly labs to practice everything taught in class during the Data Analytics bootcamp of Ironhack in Barcelona of Sept 2024 - March 2025.

machine-learning mongodb mysql numpy pandas python seaborn tableau webscraping

Last synced: 11 Apr 2026

https://github.com/jbalooshie/movies-etl

Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.

data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy

Last synced: 11 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33