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/apbetioli/neural-network

A simple neural network implementation

machine-learning neural-network numpy python3

Last synced: 29 Apr 2026

https://github.com/yashaka/learncv

Toolset used in learning Computer Vision at R_D course

cv numpy opencv utitlities

Last synced: 14 Apr 2026

https://github.com/alefair/ds

Data Science projects

ipython jupyter matplotlib numpy pandas python sklearn

Last synced: 15 Mar 2026

https://github.com/manuel-lang/numpymongo

A python package to export NumPy data to MongoDB

mongodb numpy wrapper

Last synced: 23 Feb 2026

https://github.com/hellymodikalpesh/numpy

This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.

jupyter-notebook numpy

Last synced: 28 Jan 2026

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 23 Jan 2026

https://github.com/jsd115/tensorflow_bankfrauddetection

This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn

numpy pandas sklearn tensorflow

Last synced: 06 Feb 2026

https://github.com/tugot17/neural-network-from-scratch

Simple neural network implemented from scratch using numpy package

from-scratch neural-network numpy python

Last synced: 26 Oct 2025

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/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/ggrbill/phd-plot-scripts

My personal plot scripts used to generate graphs for my PhD Thesis

hacktoberfest matplotlib numpy python

Last synced: 18 Apr 2026

https://github.com/thaivincent/fft_image_compression

A simple image compression program using FFT and numPy

fft image-processing numpy

Last synced: 29 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/gusenov/max-empty-rect-py

:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.

algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection

Last synced: 06 Feb 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/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/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/asut00/Machine-Learning-Program_42AI

Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.

linear-regression machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 27 Oct 2025

https://github.com/harmanveer2546/heart

Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)

data-preprocessing decision-tree eda knn logistic-regression machine-learning numpy pandas random-forest roc-auc-curve svc

Last synced: 03 May 2026

https://github.com/lavkalsi/creditcardfrauddetector

Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.

fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library

Last synced: 15 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/alejandro945/insurance-risk

This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.

data-analytics ipython-notebook numpy pandas python

Last synced: 06 Feb 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/ambrish8/bell-s-palsy

BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING

cnn-architecture imagedatagenerator keras numpy opencv python pytorch resnet-50

Last synced: 15 Apr 2026

https://github.com/guy1998/synthetic-data-generator-for-event-cameras

Automated workflow for the generation of synthetic data that can be used as an input for event cameras based on previously taken videos

computer-vision event-cameras numpy opencv synthetic-data

Last synced: 15 Apr 2026

https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing

Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of

alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats

Last synced: 28 Jan 2026

https://github.com/subh888999/car-prices--analysis-projects

This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis

jupyter-notebook matplotlib numpy panda seaborn statistics

Last synced: 03 May 2026

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/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/yibrahimmoos/snn

shallow neural network imp.

neural-network numpy python-3-6

Last synced: 29 Apr 2026

https://github.com/solomonbaez/koios

Neural Network Framework, built from scratch in NumPy.

machine-learning neural-network neural-networks numpy

Last synced: 29 Apr 2026

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/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/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/shahaba83/airplane-ticket-cancellation

In this project, we try to predict the possibility of canceling the plane ticket by the buyer

datatime numpy pandas python scikit-learn seaborn

Last synced: 25 Feb 2026

https://github.com/asherk7/house-price-prediction

House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting

data-science numpy pandas regression scikit-learn

Last synced: 15 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/jaypanchal9/fraud-detection-case-study

A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost

Last synced: 15 Apr 2026

https://github.com/shariqayan/diwali_sales_analysis_python

The Diwali Sales Analysis project focuses on analyzing sales data during the Diwali festival to gain insights into customer behavior, improve customer experience, and optimize sales strategies.

data-visualization matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/muhkartal/fr-photo

face-recognition system works on images first of all you need to register valid image as recognition

face-recognition numpy opencv pillow python streamlit

Last synced: 15 Apr 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/itssahilwhat/ai-fundamentals

A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.

computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn

Last synced: 15 Apr 2026

https://github.com/matheusvazdata/retail-sales-forecast-linreg-sklearn

Minimal project for retail sales forecasting using linear regression (scikit-learn).

forecasting linear-regression machine-learning matplotlib numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/chandkund/predicting-student-grades

This project predicts student grades (G1, G2, G3) based on various features such as demographic information, study habits, family background, and other academic factors. The aim is to develop a predictive model that can assist in identifying students who may need additional support.

classification-algorithm ensemble-learning exploratory-data-analysis machine-learning matplotlib numpy pandas regression-models seaborn

Last synced: 29 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/ishinzoo/songrecommendation

This project is a machine learning-based system that recommends songs based on the user's detected emotions. The application uses facial expression recognition to determine the user's current emotional state and suggests songs that align with that emotion. This system can be particularly useful for personalized music streaming services, helping use

machine-learning mediapipe numpy opencv os python tenserflow

Last synced: 25 Feb 2026

https://github.com/ayuub34/siesta-smart

This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.

ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn

Last synced: 25 Feb 2026

https://github.com/hanchiang/python-data-science-handbook

Learn data science with python, numpy, pandas from the book "Python Data Science Handbook: Essential Tools for Working with Data"

data-science numpy pandas python

Last synced: 29 Apr 2026

https://github.com/shwetapardhi/assignment-03-q4-hypothesis-testing

Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5

alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas python scipy significance-testing stats

Last synced: 31 Jan 2026

https://github.com/keyurparalkar/breast-cancer-detection

Predict whether the cancer is benign or malignant

gradient-descent logistic-regression machine-learning numpy

Last synced: 26 Apr 2026

https://github.com/manu-karenite/medical-insurance-cost-predictor

Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.

kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn

Last synced: 15 Apr 2026

https://github.com/ksharma67/k-means-algorithm-on-the-iris-dataset

Applied the K-Means algorithm on the Iris dataset, and utilized the Silhouette Score method to find the best value of K

eda elbow-method iris-dataset kmeans-clustering matplotlib numpy pandas python seaborn silhouette-score

Last synced: 29 Apr 2026

https://github.com/hajaarh/health_state_classifier

Ce projet vise à analyser un dataset contenant divers indicateurs de santé, bien-être et vie quotidienne afin de classifier les individus en trois catégories selon leur état de santé.

numpy pandas python seaborn sklearn

Last synced: 15 Apr 2026

https://github.com/l-gre/data_analytics_for_finance

Comprehensive course materials for the Data Analytics for Finance - Master Programme, covering data manipulation, statistical analysis, visualisation, automation, and real-world case studies using industry-standard tools.

automation data-cleaning data-manipulation data-visualization excel hypothesis-testing industry-applications matplotlib numpy pandas python real-world-case-studies regression-analysis seaborn sql statistical-analysis tableau workflow-automation

Last synced: 15 Apr 2026

https://github.com/karishmagupta05/airbnb-data-scraping-and-analysis

This project involves web scraping Airbnb listings using Python and BeautifulSoup, followed by data analysis with Pandas. The goal is to extract meaningful insights from the data, clean and preprocess it, and visualize the results using libraries like Matplotlib and Seaborn.

beautifulsoup4 matplotlib numpy pandas python scraping seaborn visualization

Last synced: 15 Apr 2026

https://github.com/djdurga/upi-transactions-eda

The dataset provided encompasses a comprehensive record of Unified Payments Interface (UPI) transactions spanning the period from January 2023 to December 2023. Unified Payments Interface (UPI) has emerged as a prominent digital payment system in India, facilitating seamless fund transfers between bank accounts instantly.

matplotlib numpy pandas python

Last synced: 29 Apr 2026

https://github.com/amruta33/credit_card_analysis

The loan providing companies find it hard to give loans to the people due to their insufficient or non-existent credit history. Because of that, some consumers use it as their advantage by becoming a defaulter.

numpy pandas python3

Last synced: 15 Apr 2026

https://github.com/nmerka/practicum_rep

Проекты курса Аналитик данных (Яндекс.Практикум)

jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn sql tableau

Last synced: 31 Jan 2026

https://github.com/dipeshgoyal013/salary-data-analysis

Salary Analysis according department and agency.

analysis matplotlib numpy pandas salary sklearn-library

Last synced: 15 Apr 2026

https://github.com/prithviraj-2003/cognifyz-data-science-internship

🎓 Data Science Internship at Cognifyz Technologies 📅 Duration: 2 Months 🧠 Worked on real-world restaurant data 🗂️ Completed structured tasks across 3 levels 📌 Tasks focused on EDA, data preprocessing, visualization, and analysis 📎 Task descriptions provided in an attached PDF

data-analysis data-science data-visualization matplotlib numpy pandas python3

Last synced: 29 Apr 2026

https://github.com/ankitpundir7/group-face-emotion-recognition

This project can identify and categorize human emotions in both static and dynamic context. Duration : Jun 2023 - Jul 2023

convolutional-neural-networks deep-learning keras machine-learning-algorithms numpy opencv python tensorflow

Last synced: 07 Feb 2026

https://github.com/samiyaalizaidi/nn-ml-homeworks

Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.

machine-learning machine-learning-workflow neural-networks numpy scikit-learn

Last synced: 15 Apr 2026

https://github.com/offthetab/lung_cancer_prediction

ML for Lung Cancer Prediction dataset from kaggle.

matplotlib numpy pandas python seaborn sklearn

Last synced: 25 Feb 2026

https://github.com/martincastroalvarez/python-video-processing

Movie generator using MoviePy, OpenCV2 and Numpy.

moviepy numpy opencv

Last synced: 15 Apr 2026

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

Exploratory Data analysis on data using python

matplotlib-pyplot ml numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/yimethan/basics-of-data-analysis

2023-2 Basics of Data Analysis

data-analysis numpy pandas python

Last synced: 29 Apr 2026

https://github.com/michaelzheng67/farmsa-programming-for-finance-spring2021

Source files for the programming for finance presentation (complements the material covered)

excel jupyter-notebook matplotlib numpy pandas python sql yahoo-finance-api

Last synced: 29 Apr 2026

https://github.com/anshpg/exploration-in-image-processing-digit-image-generation

This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.

cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas

Last synced: 01 Feb 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/audeering/audmath

General math functions

math numpy

Last synced: 07 Feb 2026

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/rissh/titanicsurvivalpredictionusingml

Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚢

data data-analysis data-science data-visualization dataanalysis jupiter-notebook machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas prediction prediction-model python python3 seaborn tenserflow tflearn titanic

Last synced: 01 Feb 2026

https://github.com/hasanyahya101/pareto-tutorial-python

This tutorial demonstrates how to create Pareto charts using Python libraries like pandas, NumPy, and Matplotlib. All code for this is given in the Jupyter Notebook.

chart charts code-blocks ipynb jupyter-notebook license markdown matplotlib mit numpy pandas pareto py python

Last synced: 07 Feb 2026