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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/sanchariii/health-assist-1

Health Assist web app uses the Streamlit framework to help users identify potential diseases. Simply input your symptoms, and the system will predict whether you have diabetes, heart disease, or Parkinson's disease. The system is designed to be quick and convenient, promoting early detection and timely medical intervention.

numpy pandas pickle streamlit-webapp svm-model

Last synced: 13 Aug 2025

https://github.com/muhkartal/xai_dashboard

an interactive AI dashboard for machine learning model analysis and explainability, supports model training, dataset exploration, feature importance analysis, and SHAP-based explanations for both individual predictions and overall model behavior, compare multiple models, visualize insights, and export results seamlessly

joblib numpy pandas python sckit-learn shap streamlit xgboost

Last synced: 04 May 2026

https://github.com/mani-prakash-n-r/book_recommendation_system_using_hybrid_technique

The Book Recommendation System uses collaborative and content filtering techniques to suggest books based on user preferences and content similarity.

csv html numpy pandas python sckiit-learn

Last synced: 09 Apr 2026

https://github.com/shoaib1522/credit-card-fraud-analysis

"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."

eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow

Last synced: 09 Apr 2026

https://github.com/kmkurn/text2array

Python library to convert text dataset into arrays.

deep-learning natural-language-processing neural-networks numpy

Last synced: 14 May 2026

https://github.com/mattmoony/ann_mnist

Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️

adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh

Last synced: 09 Apr 2026

https://github.com/amandeep-gupta19/chatbot

Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask

data-extraction faiss-vector-database flask-restful langchain numpy scikit-learn vector-database webbaseloader

Last synced: 09 Apr 2026

https://github.com/adi3042/diamond-price-prediction

🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor

anaconda datetime diamond flask functools html ipykernel jupytrnotebooks matplotlib numpy pandas price-prediction readme regression sckiit-learn setuptools venv

Last synced: 09 Apr 2026

https://github.com/quarkgluant/analyse-visualisation-data-with-python

French Udemy Course "Analyse et visualisation de données avec Python" on Numpy, Pandas and MatPlotLib Python's librairies

matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python3 udemy

Last synced: 09 Apr 2026

https://github.com/niteshchawla/netflix-case-study

Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries

matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/applicativesystem/numpy-builder

code getter and numpty operator for numpy operations

data-analysis numpy numpy-python shell-script

Last synced: 15 Aug 2025

https://github.com/prithvi45/machine-learning-prerequisites

Basics to Advance concepts on Numpy, Pandas, Matplotlib

matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/aathithya-shanmuga-sundaram/cyber-threat-intelligence-dashboard

Interactive Streamlit dashboard for visualizing and analyzing cyber threats, featuring real-time data insights, severity classification, geolocation mapping, and customizable dark-cyber UI.

cyber-threat-intelligence cyber-threat-tool cybersecurity cybersecurity-tools data-visualization dataset numpy pandas plotly python streamlit threat-intelligence

Last synced: 10 Nov 2025

https://github.com/hajdu-patrik/nlp_music-mood-classifier_bme_hf

This project is a Python-based NLP system that analyzes song lyrics to determine their emotional profile and recommends similar songs.

nlp nlp-machine-learning numpy pandas python

Last synced: 10 Nov 2025

https://github.com/baranwaljii/data-science-projects

This Repository contains projects related to the domain of data science based on python and jupyter notebook

data-science jupyter-notebook machine-learning numpy pandas python

Last synced: 09 Apr 2026

https://github.com/alphacrypto246/old-car-price-prediction

The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 09 Apr 2026

https://github.com/tasninanika/australian-credit-approval-analysis-svm

This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.

numpy pandas python3 scikit-learn svm-classifier

Last synced: 10 Apr 2026

https://github.com/ashraf-khabar/bank-marketing-data-analysis

This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.

data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn

Last synced: 09 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_03

Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.

latex linear-regression matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/abdullahashfaqvirk/SMS-Spam-Detection

A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.

css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost

Last synced: 16 Aug 2025

https://github.com/amruta33/melanoma-detection

To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.

keras machine-learning numpy pandas python3 sckiit-learn tensorflow

Last synced: 09 Apr 2026

https://gitlab.com/DLR-SY/beos

Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.

fortran numpy python

Last synced: 16 Aug 2025

https://github.com/chandkund/loan-eligibility-prediction

This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.

data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/glbter/data-analysis-py

data-analysis labs. 50/50 made with Oleh Tonkoshkur

numpy pandas python3 scipy-stats

Last synced: 12 Jun 2026

https://github.com/shailikadakia/yoga-pose-accuracy-detector

Real-time yoga pose accuracy detector using MediaPipe and OpenCV. Classifies poses from webcam input with KNN and provides feedback on duration and accuracy, built with Python and scikit-learn.

computer-vision fitness health-tech knn machine-learning mediapipe numpy opencv pandas pose-estimation python real-time-detection yoga

Last synced: 09 Apr 2026

https://github.com/sukanyadutta52/topic_modeling

What are the most pressing concerns regarding ‘Climate Change’ among tweeters according to Topic Modeling?

climate-change gensim matplotlib nltk numpy pandas pyldavis regular-expression spacy

Last synced: 09 Apr 2026

https://github.com/abdullah-masood-05/eye-balll-detection

This repository provides advanced eye gaze tracking using MediaPipe Face Mesh for both video files and live camera feeds.

mediapipe numpy opencv scipy

Last synced: 10 Apr 2026

https://github.com/balajig-24/titanic_data_analysics-

Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/vuanhtuan1012/data-scientist-with-python

Notes on career track "Data Scientist with Python" at DataCamp

importing-data matlab numpy pandas python3 sqlalchemy

Last synced: 09 Apr 2026

https://github.com/subhrajit77/ai-ml

My personal AI/ML projects repository

jupyter numpy pandas python

Last synced: 09 Mar 2026

https://github.com/nas-research/knowledge-model

Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature

accelerate aws boto3 dataingestion keras lifesciences llama llama3 llm numpy pymupdf pytorch researchsupport sqlalchemy tensorflow textextraction

Last synced: 10 Apr 2026

https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool

A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.

data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter

Last synced: 15 Apr 2026

https://github.com/subhadipsinha722133/credit-card-fraud-dection

Web application for detecting fraudulent credit card transactions using machine learning

data-visualization fraud-detection machine-learning matplotlib numpy pandas seborn sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/ledsouza/medphys-bi

Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA

aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml

Last synced: 10 Apr 2026

https://github.com/kylehperez/mushroomnet

This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.

artificial-intelligence botany flask-api machine-learning mycology neural-network numpy python3 pytorch scikit-learn

Last synced: 09 Apr 2026

https://github.com/elam-parithi/singapore_flatprice_predicting

Flat price prediction with Machine learning tools and python.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data

A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.

arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis

Last synced: 07 Apr 2026

https://github.com/vedikasnehil/my-data-science-projects

This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.

data data-science deep-learning machine-learning matplotlib numpy python sql visualization

Last synced: 10 Apr 2026

https://github.com/amithjoseph777/gourmethaven-case-competition

Predictive analytics case competition project from the Master of Science in Business Analytics course at the College of Business, University of Louisville. Our team analyzed customer response trends for Gourmet Haven, developed a predictive model, and ranked in the Top 5 out of 25 teams.

google-colab jupyter-notebook numpy pandas r scikit-learn

Last synced: 10 Apr 2026

https://github.com/jpgiant/nyc_energy_prediction

A comprehensive code for predicting energy usage in NYC using Machine Learning Algorithms.

data-analysis data-science data-visualization folium jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/izhaan0/predict-marks-based-on-study-hours

Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.

data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-

As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.

bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost

Last synced: 19 Aug 2025

https://github.com/terrelbrinkley/python-projects

Python Scripts & Data Analyst Projects

aws numpy pandas python selenium

Last synced: 10 Apr 2026

https://github.com/ahmedabdalkreem/naive-bayes

Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )

numpy pandas python3

Last synced: 10 Apr 2026

https://github.com/erikaax08/numerical_methods

This repository hosts the project developed for the Numerical Methods class at the Benemérita Universidad Autónoma de Puebla (BUAP)

django maths matplotlib numerical-methods numpy plotly

Last synced: 19 Aug 2025

https://github.com/ialam085/super_store_sales_analysis_python

The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.

charts matplotlib numpy pandas python seaborn visualization

Last synced: 10 Apr 2026

https://github.com/harmanveer-2546/movie-industry

Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.

business business-analytics data-analysis datatime film-industry graphs matplotlib movie-database numpy pandas python scraping-websites seaborn visualization web-scraping-python

Last synced: 10 Apr 2026

https://github.com/mjshubham21/ny_yellow_taxi_python_da_project

A data analysis project of New York Yellow Taxi (Feb of 2025) using Python and its libraries for analytics like : NumPy, MatPlotLib, Pandas and Seaborn.

data-analysis jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/ksganni/diabetes-prediction-using-machine-learning

🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.

jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn

Last synced: 28 Apr 2026

https://github.com/cyberoctane29/epa-air-quality-aqi-analysis

This project involved analyzing air quality data from the EPA, focusing on the Air Quality Index (AQI). I used Python data structures like dictionaries and sets to manage and process the data, simulating real-world data analysis to assess pollution levels and their health implications.

data-analysis numpy pandas python statistics

Last synced: 10 Apr 2026

https://github.com/avin27/credit-card-fraud-detection

A python script to analyse credit card data to detect fraudulent transactions

data-science numpy pandas sklearn

Last synced: 10 Apr 2026

https://github.com/liblaf/array-typing

🧮 Type-safe array operations for NumPy, JAX, and PyTorch

array code-quality documentation jax numpy python static-analysis torch type-hints typing

Last synced: 19 Aug 2025

https://github.com/harmanveer-2546/covid-19-chances-detection

The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.

covid-19 covid-data logistic-regression matplotlib mlp-classifier numpy pandas python random-forest seaborn sklearn-library xgboost

Last synced: 10 Apr 2026

https://github.com/rtmigo/skifts_py

Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy

cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf

Last synced: 19 Aug 2025

https://github.com/csengupta1101/career-survey---data-scientist

This repository holds an in depth analysis of Scrapped data from naukri.com. which showcases in in demand skills and opportunities in Data science across the subcontinent.

analysis career data-science matplotlib naukri numpy pandas python3

Last synced: 07 May 2026

https://github.com/oguzhansarigol/Expected-Goals-xG-Data-Analysis

We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.

data-analysis-python expected-goals numpy pandas-python python

Last synced: 20 Aug 2025

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

Machine Learning python bootcamp: linear regression on houses model

ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/nickklos10/compressive-strenght-prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/alimiheb/morphotype-web-app

A modern web application that analyzes body morphotypes (Ectomorph, Mesomorph, Endomorph) using MediaPipe AI and provides personalized fitness and nutrition plans.

body-tracking flask mediapipe numpy opencv pandas pillow python3

Last synced: 10 Apr 2026

https://github.com/chandkund/customer-segmentation-using-k-means-clustering

Implemented K-Means Clustering to segment customers based on purchasing behavior, enabling targeted marketing strategies. Analyzed data, optimized clusters using the Elbow Method, and derived insights to enhance customer engagement and retention.

data-science kmeans-clustering machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/hariprasath-v/hackerearth_transunion-data-science-analytics-hiring-challenge_2022

Machine learning model to classify the credit score based on people bank details and credit related information.

catboost exploratory-data-analysis klib machine-learning matplotlib numpy optuna pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/mayankmittal29/pagesage-ai_urls_content_scraper_webapp

PageSage is a modular web scraping and semantic retrieval system using BeautifulSoup for extraction, SentenceTransformers for dense embeddings, and ChromaDB for scalable vector search—enabling efficient data indexing for advanced RAG pipelines.

beautifulsoup chromadb fastapi gpt-turbo numpy openai-api python3 question-answering rag react requests sentence-transformers tailwindcss web-scraping

Last synced: 10 Apr 2026

https://github.com/kaladabrio2020/calculusnumerics

Trabalho da cadeira de Métodos Numérico I

metodos-numericos numpy python tkinter-gui

Last synced: 18 May 2026

https://github.com/mpbeatriz/santander_coders_2024

Repositório dos exercícios e projetos do curso de Engenharia de Dados da Ada em parceria com o Santander (em andamento).

apache-kafka apache-spark api data-engineering data-extraction fastapi flask numpy oop pandas python webhooks

Last synced: 10 Apr 2026

https://github.com/ledsouza/machine-learning-introducao-a-classificacao-com-sklearn

Explorar classificação por machine learning, analisando algoritmos em exemplos cotidianos, comparando técnicas e entendendo o aprendizado de máquina por trás, com abordagem científica.

graphviz matplotlib numpy pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/beyzabasarir/northwind-traders-analysis

Northwind dataset analysis using PostgreSQL, Python, and Power BI. Focused on sales, customers, shipping, and performance insights.

dashboard data-analysis data-visualization jupyter-notebook matplotlib numpy pandas postgresql powerbi python seaborn

Last synced: 10 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 36 Videos 34 🎲 Statistics & Probability 34 Web 33