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/dwija12903/ai-lab

A collection of practical implementations from my AI Labs course

keras numpy sckit-learn tensorflow

Last synced: 19 Jan 2026

https://github.com/gayatri018/ab-testing-marketing-campaign

This project involves conducting A/B testing to evaluate the performance of two marketing campaigns: Facebook Ads and Google Adwords for an online retail business. The primary goal is to determine which campaign is more effective in driving user engagement and conversions, helping the company optimize its marketing strategies.

ab-testing linear-regression matplotlib numpy pandas python scipy seaborn sklearn-

Last synced: 30 Dec 2025

https://github.com/armanshadyan/bacteria-detection

Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.

mediapipe numpy object-detection opencv python pytorch

Last synced: 30 Dec 2025

https://github.com/zahediparsa/nlp_ta_uok

This repository contains exercises designed for students in the Natural Language Processing (NLP) course at the University of Kurdistan, taught by Dr. Fatemeh Daneshfar. The course took place from February 2024 to July 2024.

cbow jupyter-notebook matplotlib nlp nltk numpy pandas python tf-idf

Last synced: 19 Jan 2026

https://github.com/chandkund/ev-market-segmentation

This project focuses on segmenting the Electric Vehicle (EV) market in India to identify key customer groups based on their preferences, behaviors, and demographics.

machine-learning matplotlib numpy pandas seaborn sklearn visualization

Last synced: 19 Jan 2026

https://github.com/vidushibhadana/eda-on-nyc-taxi-data

About Conducting an Exploratory Data Analysis (EDA) on New York City taxi data and visualizing it through countplots, distribution plots (displot), and histograms using Python and it's libraries.

data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Oct 2025

https://github.com/jonad/quora_w2v

In-domain word embedding using Quora dataset.

gensim-word2vec matplotlib numpy pandas python3

Last synced: 12 Oct 2025

https://github.com/dev-dur/student_exam_analysis

This is a beginner-friendly data analysis mini-project using NumPy, Pandas, and Matplotlib. The project generates random student exam scores, analyzes them, and visualizes the results.

matplotlib-pyplot numpy pandas python

Last synced: 12 Oct 2025

https://github.com/sayidmushtaq/reportcard

Tracking and analyzing student grades. It calculates averages, identifies top performers, and generates performance reports with ease.👨🏼‍🎓👨🏼‍🎓

begginer-project numpy reporting-tool

Last synced: 27 Jan 2026

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

Boxbeam is a legacy Fortran tool translated to python. It calculates effective beam properties of composite cross sections comprised of rod-like elements.

fortran numpy python

Last synced: 12 Oct 2025

https://github.com/rajesh9943/developing-a-bike-buyer-sales-report-dashboard-using-excel

This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used to build the dashboard in Google Sheets. There are some NA (Null / Empty) values injected in the dataset. Use this dataset for Data Cleaning, Exploration, and Visualization.

excel google-sheets numpy pandas-library python3

Last synced: 12 Oct 2025

https://github.com/vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm

Last synced: 30 Dec 2025

https://github.com/egrizq/bike_analysis

Exploring the bike sharing system to find the patterns behind user behavior by weather, season, hour, and months.

data-science matplot numpy python seaborn

Last synced: 13 Oct 2025

https://github.com/chandkund/sms-spam-detection

The goal is to develop a classification model that can accurately differentiate between spam and non-spam messages. This is crucial for applications like email filtering, SMS spam detection, and improving overall user experience by reducing the influx of unwanted or malicious content.

matplotlib nlp-machine-learning numpy pandas seaborn stemming tfidf-vectorizer tokenization

Last synced: 19 Jan 2026

https://github.com/nisch-mhrzn/house_prediction

This project predicts house prices using data exploration, feature engineering, and machine learning models like Linear Regression and Random Forest. It demonstrates how to optimize models and evaluate their performance to accurately forecast house prices.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/achronus/data-graphing-tool

A tool for finding the perfect graph that fits your CSV data.

data-visualization matplotlib numpy pandas python3

Last synced: 13 Oct 2025

https://github.com/szymon-budziak/real_estate_house_prices_prediction

Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.

data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn

Last synced: 21 Jan 2026

https://github.com/vedanty3/supermarket-sales-data-analysis

This project contains data visualization techniques (using pandas and matplotlib) to explore different aspects of supermarket sales data of 3 months.

data-analysis data-science jupyter-notebook matplotlib numpy pandas python

Last synced: 13 Oct 2025

https://github.com/khushi130404/regulexa

Regulexa is a Python project that showcases and compares Ridge, Lasso, and Elastic-Net regularization techniques in machine learning. It includes visualizations and performance insights to help prevent overfitting and improve model generalization.

elastic-net-regression lasso-regression numpy ridge-regression

Last synced: 14 Oct 2025

https://github.com/harmanveer-2546/nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

eda matplotlib numpy pandas python seaborn visualization xgboost

Last synced: 14 Oct 2025

https://github.com/abhishekyadav915/multiple_disease_prediction_using_ml

Developed a web-based application for predicting the likelihood of multiple diseases using machine learning models with accuracy up to 95%.

colab-notebook logistic-regression numpy pandas python3 sklearn spyder-python-ide streamlit-web streamlitcloud svm-classifier

Last synced: 14 Oct 2025

https://github.com/armahdavi/ai_ml_assisted_breast_cancer_tumor_detection

Consolidating tutorial codes for breast cancer tumor detection, covering ML fundamentals like classification, feature engineering, training, evaluation, and key performance metrics.

bias-variance feature-engineering logistic-regression machine-learning machine-learning-algorithms medical-application numpy pandas python random-forest recall-precision sklearn xgboost-classifier

Last synced: 14 Oct 2025

https://github.com/coderjolly/employee-information-retrieval-system

An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.

etl flask mvc numpy pandas python sqlite3

Last synced: 14 Oct 2025

https://github.com/helabenkhalfallah/art-bloom

ArtBloom is a backend application designed for art enthusiasts and researchers.

analytics backend-api numpy pandas-python python recommendationsystem

Last synced: 22 Jan 2026

https://github.com/ireneflorez/sf-kindergarten-lottery

Data analysis reviewing data and findings on the public school kindergarten lottery in San Francisco

ipynb-jupyter-notebook jupyter-notebook numpy pandas python sql

Last synced: 14 Oct 2025

https://github.com/yahiazakaria445/ensemble-learning-voting-classifier

Ensemble Learning Using KNN, Naive Bayes, Decision Tree on Biomechanical Data

matplotlib numpy pandas scikit-learn seaborn

Last synced: 14 Oct 2025

https://github.com/polyee99/kaggle-titanic-data-analytics

Jupiter notebook to predict the outcome of passengers who died or not in the tragical Titanic event.

data eda jupiter-notebook matplotlib numpy pandas python regression-analysis test-train-split visualization

Last synced: 05 Feb 2026

https://github.com/gerlero/generala

🎲 Probabilistic tool for the dice game of Generala

generala numpy python

Last synced: 27 Jan 2026

https://github.com/bvsam/nnfs

Basic neural network built using Python and Numpy. Created to better understand neural networks.

artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3

Last synced: 14 Oct 2025

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 Oct 2025

https://github.com/harmanveer-2546/statistics-for-machine-learning

Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.

inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics

Last synced: 14 Oct 2025

https://github.com/seymencanates/pythonn

Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.

django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter

Last synced: 15 Oct 2025

https://github.com/aishwaryagm1999/california-housing-prices-data-analysis

Performed Data Cleaning and Data Analysis of the California Housing Prices Dataset to find the relation between the housing prices at a block and the amenities and facilities stated in the dataset such as total number of rooms, ocean proximity etc.

data-analysis data-visualization matplotlib numpy pandas python seaborn

Last synced: 16 Oct 2025

https://github.com/anish37860/python_party

Python summer party by Interview Master & in partnership with DataCamp

jupyter numpy pandas python

Last synced: 16 Oct 2025

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: 16 Oct 2025

https://github.com/sralter/potential_talents

Using NLP techniques (word and sentence embedding tools like SBERT and Learning-to-Rank systems like RankNet and LambdaRank) to rank candidates.

lambdarank learning-to-rank lightgbm matplotlib nlp numpy pandas python pytorch ranknet

Last synced: 16 Oct 2025

https://github.com/karthik9273/revolutionizing-gold-rate-forecasting-for-small-businesses-with-machine-learning

The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.

data-science google-colab-notebook jupyter-notebook machine-learning matplotlib numpy pandas-dataframe python seaborn sklearn

Last synced: 16 Oct 2025

https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning

Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.

3d-graph callback deep-learning eda gui gui-application image-generator imageclassification keras-tensorflow matplotlib maxpooling mobilenetv2 numpy opencv pillow plotly python seaborn transfer-learning visualization

Last synced: 17 Oct 2025

https://github.com/sudip-13/plant-disease-detection

Plant disease detection from leaf uses machine learning to identify diseases for early intervention

cloudinary css docker jwt-token keras matplotlib-pyplot mongodb nodejs numpy reactjs tensorflow tensorflow-serving

Last synced: 30 Dec 2025

https://github.com/paulo-santos-ds/analise_dados_musicais

Dashboard para compreender as preferências musicais dos ouvintes, tendências regionais e o impacto de artistas específicos.

numpy pandas powerbi python

Last synced: 17 Oct 2025

https://github.com/mjul/scipy-lab

Scientific computation with Python

matplotlib numpy python scipy

Last synced: 17 Oct 2025

https://github.com/paulo-santos-ds/guia_de_precos_de_veiculos_com_machine_learn

Sistema de predição de preços de carros usados desenvolvido para a Empresa Rusty Bargain

catboost lgbm numpy pandas pyplot python seaborn sklearn time

Last synced: 17 Oct 2025

https://github.com/cosmoquester/numpy-neural-net

This is neural network samples implemented with numpy without machine learning libraries.

implementation neural-network numpy

Last synced: 22 Jan 2026

https://github.com/deepcloudlabs/dcl702-2021-jul-12

DCL-702: Data Analytics using Python

data-analytics numpy pandas python3

Last synced: 18 Oct 2025

https://github.com/rezapace/number-generator

Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.

colab cupy custom generator jupiter kumal link number numpy pyhon webkumal webkumal-projek

Last synced: 18 Oct 2025

https://github.com/sunilvarma-l/liverdiseaseprediction

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."

machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 18 Oct 2025

https://github.com/baschin1103/neural-network-building-in-python

In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.

bias building-ai forward-pass functioning identity linear-combinations neural-network numpy python regression relu

Last synced: 18 Oct 2025

https://github.com/architj6/gesture-volume-control

Easily control your system volume with simple hand gestures! This project leverages OpenCV, MediaPipe, and Pycaw to track hand movements and adjust the system volume dynamically. Say goodbye to keyboard shortcuts and volume buttons—just move your hand to set the volume!

handgesture mediapipe numpy opencv os pycaw python python3 volume-control

Last synced: 19 Oct 2025

https://github.com/neelays/xor-xnor_neural_network

NumPy neural network to approximate XOR/XNOR

numpy

Last synced: 19 Oct 2025

https://github.com/laipching/sprint6_module1

Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.

data-visualization eda matplotlib numpy pandas python seaborn

Last synced: 19 Oct 2025

https://github.com/omarsaad21/it-salary-eda

A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset

data explotary-data-analysis juypter-notebook numpy pandas python visualization

Last synced: 19 Oct 2025

https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies

This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.

activelearning cuda entropy kldivergence margin numpy python pyto uncertainty

Last synced: 19 Oct 2025

https://github.com/satyamtripathi8/tools_for_data_science

Introduction to Data Science Tools(Python)

data-analysis-python matplotlib-pyplot numpy pandas

Last synced: 19 Oct 2025

https://github.com/gurramankit/censusproject_ml_randomforest

The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.

matplotlib numpy pandas python random-forest scikit-learn seaborn

Last synced: 20 Oct 2025

https://github.com/samir-atra/experiments_and-_improvements

A repository showing the knowledge in some of the machine learning technologies there are.

dcgan-tensorflow numpy tensorflow-tutorials tensorflow2

Last synced: 23 Jan 2026

https://github.com/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib

Sistema completo de análisis y visualización de datos cinematográficos que proporciona insights detallados sobre películas, incluyendo análisis financiero, puntuaciones, tendencias temporales y un sistema de recomendación. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de películas.

matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit

Last synced: 27 Jan 2026

https://github.com/filipporanza/rc4

A simple RC4 implementation in Python3. Useful for testing and studing RC4 properties

matplotlib numpy python3 rc4 university-project

Last synced: 22 Oct 2025

https://github.com/juzershakir/predicting_boston_housing_prices

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree

Last synced: 22 Oct 2025

https://github.com/ghsaboias/glasses-ai

Real-time object detection system using Meta Ray-Ban AI Glasses and YOLOv8 Nano, processing Instagram livestream for visual analysis

ai meta-ai mss numpy object-detection ultralytics

Last synced: 23 Oct 2025

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

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

matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering

Last synced: 23 Oct 2025

https://github.com/deepcloudlabs/dcl702-2020-sep-16

DCL-702: Data Analytics using Python

data-analytics numpy pandas python python-3

Last synced: 24 Oct 2025

https://github.com/akansharajput280799/covid19-impact-analysis-usa

Data Analysis and Predictive Modeling to study COVID-19 impact across age groups, regions, and seasons in the USA.

classification-algorithm clustering-algorithm data-preprocessing data-visualization descriptive-statistics exploratory-data-analysis matplotlib numpy pandas seaborn

Last synced: 24 Oct 2025

https://github.com/chirindaopensource/search_benford_law_compatibility

End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.

academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing

Last synced: 24 Oct 2025

https://github.com/hifly81/photox

photo and album organizer for gtk3

gtk3 numpy opencv-python photography pil pillow python

Last synced: 24 Oct 2025

https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation

This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.

bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis

Last synced: 24 Oct 2025

https://github.com/bilalm04/email-spam-classifier

A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification.

api flask jupyter-notebook machine-learning matplotlib nlp numpy pandas python scikit-learn

Last synced: 24 Oct 2025

https://github.com/estaheri7/dotawinpredictor

This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams

data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines

Last synced: 03 Dec 2025

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

Salary Analysis according department and agency.

analysis matplotlib numpy pandas salary sklearn-library

Last synced: 25 Oct 2025

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

A python package to export NumPy data to MongoDB

mongodb numpy wrapper

Last synced: 25 Oct 2025

https://github.com/miasanromen/math-modeling

Math modeling with Python. Statistics, math, graphics

math matplotlib numpy probality-theory scipy-stats statistics

Last synced: 25 Oct 2025

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/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/pushtogithub23/projectilemotion-simulation

This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.

jupyter-notebook matplotlib-pyplot numpy physics-simulation projectile-motion-simulation

Last synced: 28 Jan 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