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/chandkund/wine-quality-prediction

This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.

logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier

Last synced: 01 May 2026

https://github.com/harmanveer-2546/credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg

Last synced: 13 Apr 2026

https://github.com/tromesh/attendance-predictor

Student Attendance predictor for Scheduling lecture sessions

matplotlib numpy pandas tensorflow

Last synced: 05 May 2026

https://github.com/hanzdr/2d-3d-object-transformation

For my Linear Algebra Project Defense

matplotlib-python matrix numpy

Last synced: 19 Apr 2026

https://github.com/ifte-13/early-stage-brain-stroke-detection

Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm

decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image

Geometric shapes recognizer API built in python

api-rest flask numpy opencv python shaperecognitionapi

Last synced: 28 Apr 2025

https://github.com/soumyapro/house-price-prediction

Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.

linear-regression matlplotlib numpy pandas sklearn svm

Last synced: 13 Apr 2026

https://github.com/pramodyasahan/spaceship-titanic

This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.

machine-learning 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/sadia-khan13/data-preprocessing

Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.

artificial-intelligence data-analysis data-mining data-preprocessing data-science jupyter-notebook matplotlib numpy pandas python seaborn-python sklearn

Last synced: 11 Apr 2026

https://github.com/csengupta1101/netflix-rating

The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience

jupyter-notebook matplotlib movies netflix numpy pandas plotly python python3 rating tvseries

Last synced: 13 Apr 2026

https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest

This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.

csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn

Last synced: 27 Feb 2025

https://github.com/mstrlc/iss-project

FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard

fit iss matplotlib numpy python scipy signal-processing vut

Last synced: 11 Mar 2025

https://github.com/cyb3r-jak3/docker-alpine-pandas

Python alpine image with pandas, and numpy installed

alpine-image numpy pandas-python python-alpine

Last synced: 30 May 2026

https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api

Last synced: 13 Jul 2025

https://github.com/jfjlaros/online-array

Online array, pass a function as a NumPy array.

array function numpy online unbounded

Last synced: 13 May 2026

https://github.com/niel0503/probabilidade-e-amostragem

Desafio desarrollado para el bootcamp de WoMakersCode

estadistica matplotlib numpy pandas stats

Last synced: 18 Jan 2026

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/dmarks84/coursework_project_network-analysis-node-link-prediction

Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)

classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization

Last synced: 13 Apr 2026

https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24

This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.

eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn

Last synced: 13 Apr 2026

https://github.com/lesiaukr/mathematic_for_cs_colab_hw

Master's degree | HW | Mathematics for Computer Science course | Homeworks

goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors

Last synced: 13 Apr 2026

https://github.com/ahmedabdalkreem/healty-care

The Complete project using neural network to arrive the best healt know he is stoke or not.

matplotlib neural-network numpy pandas python3 sklearn-library

Last synced: 13 Apr 2026

https://github.com/railab/nxscli-np

Nxscli extention with Numpy operations

numpy nxscli

Last synced: 21 Apr 2026

https://github.com/mmerlyn/analysis-of-tomato-prices

Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.

css flask html matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/danny-1k/nnpy

Neural network library written from scratch in numpy

deep-learning neural-networks-from-scratch numpy python

Last synced: 17 May 2026

https://github.com/lupin3000/augmentedreality

Introduction into augmented reality (AR) with Python OpenCV ArUco markers.

aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python

Last synced: 13 Apr 2026

https://github.com/tkc/node-neural-network

Built with only pure typescript, neural network iris sample.

javascript machine-learning neural-network node numpy typescript

Last synced: 09 Apr 2026

https://github.com/ola-kaznowska/numpy-matrix-arrays

Practice working with the NumPy library and multiple arrays. Copy() and view() functions

numpy python python3

Last synced: 18 Apr 2026

https://github.com/suap-dev/python-essentials

a repository intended for people who want to know some python basics

lambda-functions numba numpy oop pandas teaching

Last synced: 17 Mar 2025

https://github.com/hansalemaos/a_pandas_ex_split_on_common_char

Splits the elements in a Series using a common separator character and returns a DataFrame.

numexpr numpy pandas separator split string

Last synced: 14 Jan 2026

https://github.com/patex1987/ghcn-temperature-dataset

Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy

climate-data jupyter-notebook numpy python temperature-data

Last synced: 10 May 2026

https://github.com/soumyapro/hand-tracking-volume-controller

This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.

mediapipe numpy opencv-python pycaw time

Last synced: 13 Apr 2026

https://github.com/fimbres/matplotlib-start

A crash project with the most important matplotlib functions and methods, used in data science, AI and machine learning.

data-science matplotlib matplotlib-pyplot numpy pandas python python-script

Last synced: 13 Apr 2026

https://github.com/18mahi/digital_cave

An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance

cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/pranavsp108/time-series-forcasting

A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.

data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost

Last synced: 10 Apr 2026

https://github.com/ahmadbuilds/fake-news-classifier

Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.

fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/nihanthbhargav/time-series-stock-market

This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.

matplotlib numpy pandas plotly python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/mehediehteshum/minesweeper

Building classic 'Minesweeper' game from scratch using Pygame with VS Code.

numpy pygame python python3

Last synced: 06 Oct 2025

https://github.com/ejw-data/python-bitwise-operators

Difference between bitwise and logical operators when using pandas

numpy pandas

Last synced: 08 May 2026

https://github.com/ashishgoswami13/handgesture_recognition

Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.

computer-vision cvzone handgesture-recognition keras numpy python teachable-machine

Last synced: 18 Apr 2026

https://github.com/isratafrin826/linear-regression-model

Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.

googlecolaboratory numpy pandas sklearn

Last synced: 03 May 2026

https://github.com/zolppy/recommendation-system

This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.

computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16

Last synced: 12 Apr 2026

https://github.com/pedasoft-consult/employee-attrition-prediction

This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.

joblib numpy pandas python3 sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/lluispp/hunting_for_exoplanets_with_ai

An AI-powered tool that classifies exoplanets using NASA datasets and provides an interactive web interface for real-time exploration and discovery.

ai challenge exoplanets nasa numpy python spaceappchallenge-2025 spaceapps swai web

Last synced: 18 May 2026

https://github.com/hiftd22/wpattern

📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.

cli finance financial-analysis financial-data matplotlib numpy pandas pattern-recognition python scikit-learn stock-scanner technical-analysis yfinance

Last synced: 29 Apr 2026

https://github.com/manjotkaurgill/agritech

Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.

flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/eiichiroito/numpharo

NumPy like tools for Pharo Smalltalk

matplotlib-pyplot numpy pharo pharo-smalltalk smalltalk

Last synced: 18 Jan 2026

https://github.com/lewis-morris/image_augment

Image augmentation for CNN's. Aiming to increase generalization.

augmentation image numpy python

Last synced: 18 Feb 2026

https://github.com/amish5ingh/cricket-data-analytics-ipl

Data analysis and visualization of IPL 2022 matches using Python, Pandas, Matplotlib, and Seaborn. Includes insights on match outcomes, player performances, toss trends, and venue stats with 12+ charts.

data-analysis data-visualization ipl-data-analysis ipl-data-visualization jupiter-notebook matplotlib-pyplot numpy pandas python seaborn

Last synced: 09 May 2026

https://github.com/nikhleshshukla123/web-scraping-using-python

scrapes multiple pages of Amazon search results using python.

beautifulsoup4 numpy pandas python

Last synced: 03 May 2026

https://github.com/gherrada22/spanish-sign-translator

This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.

language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml

Last synced: 18 Jan 2026

https://github.com/faisal-khann/ipl-analysis

The IPL Analysis project is a comprehensive data-driven exploration of the Indian Premier League (IPL), analyzing historical match data to uncover patterns in team performance, player statistics, and match outcomes.

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas seaborn

Last synced: 08 May 2026

https://github.com/armahdavi/analytics_statistics_ml_plotting_dust_extraction_hvac_filters_ph2

PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics

Last synced: 14 Apr 2026

https://github.com/netbr3ak/planetary-system-simulation

Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.

astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application

Last synced: 14 Apr 2026

https://github.com/winterwind/mlp_and_cnn

A short two-part project involving using an MLP and a CNN for ECG signal data

cnn convolutional-neural-network csv-files jupyter jupyter-notebook mlp neur numpy python pytorch

Last synced: 14 Apr 2026

https://github.com/amruta33/telecom-churn-case-study

Building a classification model for reducing the churn rate for a telecom company.

logistic-regression matplotlib numpy pandas plotly python seaborn skit-learn statmodels

Last synced: 14 Apr 2026

https://github.com/vishalgaud17/stroke

A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.

machine-learning numpy pandas python scikit-learn streamlit

Last synced: 14 Apr 2026

https://github.com/shoaib1522/introduction-to-data-science

Unlock the world of data science with hands-on tutorials, interactive notebooks, and essential resources! Whether you're a beginner or looking to refine your skills, this repo offers a comprehensive guide to mastering Python, Git, NumPy, Pandas, and more—empowering you to analyze, visualize, and transform data like a pro! 🚀📊💻

confusion-matrix github-config kaggle matplotlib numpy pandas python3 script visualization

Last synced: 14 Apr 2026

https://github.com/ianhaggerty/final-capstone

This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.

amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud

Last synced: 19 Jan 2026

https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis

In this project, I was given a sales data. I analyzed their sales data and shared a summary

data-cleaning data-manipulation exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/amiridk/statistics-and-algebra-in-python

simple and important statics operations and Famous statistical problems , also algebra operations

algebra itertools matplotlib numpy pandas python scipy seaborn static

Last synced: 14 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 jupyter-notebook matplotlib numpy pandas price-prediction readme regressor sckiit-learn setuptools venv

Last synced: 14 Apr 2026

https://github.com/badranalyst/time-series-analysis-of-global-trends-in-diet-gym-and-finance

This project analyzes global trends in diet, gym, and finance over time using time series data. The analysis is performed using Python libraries like Pandas, Matplotlib, and Seaborn to visualize trends and identify patterns in these sectors across various countries.

data-analysis dataset matplotlib-pyplot numpy pandas python seaborn time-series

Last synced: 14 Apr 2026

https://github.com/ljadhav25/false-alarm-detection

The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.

flask flask-api logestic-regression numpy pandas pkl pycharm-ide python

Last synced: 19 Jan 2026

https://github.com/akshay-kamath/anomaly_detection

This project addresses the challenge of identifying anomalies in sales data, aiming to optimize sales strategies by uncovering deviations from expected profit patterns.

anomaly anomaly-detection cblof flask isolation-forest knn matplotlib numpy pandas pyod python sklearn

Last synced: 19 Jan 2026

https://github.com/saylie/cat-dog-classifier-

The Cat-Dog Classifier is a deep learning-based image classification project that can differentiate between images of cats and dogs. It uses a Convolutional Neural Network (CNN) model trained on labeled datasets to predict whether a given image belongs to a cat or a dog.

ai javascript keras numpy opencv python react tensorflow

Last synced: 14 Apr 2026

https://github.com/massimilianovisintainer/rock-vs-mine-prediction

Rock vs. Mine classification using Logistic Regression

machine-learning model numpy pandas sklearn

Last synced: 21 Jan 2026

https://github.com/lorenzorottigni/ml-breast-cancer

Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 14 Apr 2026

https://github.com/sudarshanc00/smishing

This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.

nltk numpy pandas python scikit-learn scipy

Last synced: 14 Apr 2026

https://github.com/chaakshay/heartdrive

A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.

csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit

Last synced: 05 Apr 2026

https://github.com/sultanazhari/game-trend

Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.

matplotlib-pyplot numpy pandas python3 scipy-stats video-game

Last synced: 11 Apr 2026

https://github.com/umesh-01/python

Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.

ai application-development artificial-intelligence deep-learning machine-learning matpotlib ml nlp numpy open-source pandas python python-framework python-libraries python3 web-development

Last synced: 07 Apr 2026

https://github.com/jsimell/sleepanalysis

A Python data analysis project analyzing the sleep quality affecting factors and temporal patterns in the sleeping data of a single subject.

data-analysis matplotlib numpy pandas python scikit-learn seaborn

Last synced: 14 Apr 2026

https://github.com/shubham-bendre/football-clip-analysis

This project uses YOLO and Roboflow datasets to analyze football matches, detecting players, referees, and the ball while tracking movements in real-time.

deep-learning matplotlib numpy roboflow-dataset yolov5

Last synced: 17 May 2026

https://github.com/wasifsohail5/amusic-ai_powered_musicrecommendationsystem

AMUSIC is an AI-driven music recommendation system that helps users discover personalized songs. Using Python, Streamlit, and Scikit-learn, it offers smart recommendations, advanced search, and interactive music insights. Users can save favorites, create playlists, and export data for a seamless music discovery experience.

joblib k-nearest-neighbours matplotlib minmaxscaler numpy pandas pickle plotly python scikit-learn seaborn streamlit

Last synced: 14 Oct 2025

https://github.com/ayorick23/python-data-science-cheat-sheet

Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.

cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow

Last synced: 07 Apr 2026

https://github.com/gerlero/generala

🎲 Probabilistic tool for the dice game of Generala

generala numpy python

Last synced: 27 Jan 2026