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/s-hirata0831/graphicsprocessing

Pythonによる画像処理基礎実験(with OpenCV)

numpy opencv python

Last synced: 07 May 2026

https://github.com/harmanveer-2546/sentiment-analysis-of-amazon-fine-food

For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.

mathplotlib nlp-machine-learning ntlk numpy pandas pipeline python roberta-model seaborn transformer vader-sentiment-analysis

Last synced: 09 Apr 2026

https://github.com/carterbox/libimage

Provides large (2k) test images as NumPy arrays.

images numpy python

Last synced: 15 Apr 2026

https://github.com/samir-atra/cancerdetector

The final project of AI50xIraq course is found in the commit on 21-3-2023

cancer-detection cnn dataset inceptionv3 matplotlib numpy opencv tensorboard tensorflow tensorflow-tutorials transfer-learning

Last synced: 11 Feb 2026

https://github.com/niteshchawla/loantap-logisticregression

Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?

confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling

Last synced: 10 May 2026

https://github.com/elissorokin/data-analyst-portfolio

Это репозиторий, в котором я демонстрирую свои навыки, делюсь проектами и отслеживаю прогресс в области анализа данных и Data Science.

ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis

Last synced: 09 Apr 2026

https://github.com/RedInfinityPro/DrawImages

Rating: (7/10) The code uses Python's Turtle module to create a canvas image, converting it to grayscale, and then placing dots at each pixel's location based on its intensity.

numpy pil random turtle

Last synced: 30 Sep 2025

https://github.com/cherukuri-thanu/conjoint-analysis-netflix

This repository contains configuration files for performing conjoint analysis on Netflix survey data.

conjoint-analysis logistic-regression matplotlib-pyplot netflix numpy pandas squantify statsmodels

Last synced: 16 Apr 2026

https://github.com/RedInfinityPro/Python-Task-Manager

Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.

matplotlib numpy psutil pygetwindow tkinter

Last synced: 30 Sep 2025

https://github.com/mgitrov/kulo-chatbot

A retrieval based chatbot aiming to simulate human-like conversation with the user via text messages on chat.

artificial-neural-networks bag-of-words deep-learning json keras lemmatization natural-language-processing nltk numpy tkinter tokenization

Last synced: 07 May 2026

https://github.com/salvatoreamaddio/powerbi

This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.

numpy pandas pandas-python powerbi python

Last synced: 07 May 2026

https://github.com/hansalemaos/np_asciiart

Ascii art with numpy

ascii numpy opencv python

Last synced: 16 Apr 2026

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

A data analytics project that involves analyzing a car dataset that includes information on various car brands, years, prices, mileage, and fuel types, in order to gain insights into the car market.

data-analysis data-analytics matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/bharatsharma07/ipl-analysis

This project provides insights into the IPL's historical data, helping to identify trends, player performance, and team strategies.

data-visualization ipl-data-analysis numpy pandas python

Last synced: 16 Apr 2026

https://github.com/shakhthi/mlproject

This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.

jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/tzepart/choosing-oil-region

Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.

matplotlib ml numpy pandas seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/thavinduushan/linear-regression

A linear regression model to predict premium price of an insurance. The dataset includes around 1,000 observations. The project, aimed at learning, was implemented in Jupyter notebooks using NumPy, Matplotlib, Pandas, Keras, and TensorFlow.

matplotlib numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/maia-bastos/estimativas

Projeto de Probabilidades, Amostragem e Estimações com dados reais (IBGE).

numpy pandas python3 scipy-stats

Last synced: 16 Apr 2026

https://github.com/rakesh3596/tutedude_projects

It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection

csv-files matplotlib numpy pandas plotly python sklearn-library

Last synced: 16 Apr 2026

https://github.com/codersales/machine-learning-classification

machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent

authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation

Last synced: 07 Mar 2026

https://github.com/mattia-hulathduwage/wine-quality-analyzer

A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/christabelsakyi/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.

machine-learning numpy pandas plotly python sklearn streamlit

Last synced: 09 Apr 2026

https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model

This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.

correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization

Last synced: 15 Feb 2026

https://github.com/alyssahusna44/poai-image-classification

An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. 🗂️

artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/kevin-rsj/real-estate-investments

Sistema de scoring que clasifica ciudades francesas para inversión en segundas viviendas según perfil de riesgo(alto, moderado y bajo). Evalúa ratios clave en áreas como demanda, disponibilidad, infraestructura, demografía y precios.

bigquery data-analytics looker-studio numpy pandas python sklearn-library sql visualization

Last synced: 09 Apr 2026

https://github.com/kasraskari/tumor-predict

Streamlit app for predicting tumor malignancy using logistic regression.

logistic-regression machine-learning numpy pandas python scikit-learn streamlit tumor-detection

Last synced: 09 Apr 2026

https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3

This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.

imbalanced-learning numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/sasanka14/water_quality_predictions

Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀

anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/shivangmathur1/simple-qlearning

Solving gym environments using Numpy Qtables and Q-learning

gym numpy qlearning

Last synced: 07 May 2026

https://github.com/williyam-m/movie_booking_app

A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.

django machine-learning numpy orm pandas python sckiit-learn sqlite3

Last synced: 16 Apr 2026

https://github.com/5hraddha/sda-megaline-the-best-plan

Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.

data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis

Last synced: 16 Apr 2026

https://github.com/ejw-data/tableau-songs

Brief analysis of songs from 1890 - 2015 using pandas and Tableau

numpy pandas python songs tableau

Last synced: 16 Apr 2026

https://github.com/bzubs/mlzero

Implementation of widely used ML algorithms in vanilla python

machine-learning machine-learning-algorithms machinelearning numpy python statistics

Last synced: 03 Mar 2026

https://github.com/dina-hosny/investigate-a-dataset-project

Investigate a Dataset project - Udacity Data Analysis Professional Track. In this project, I used the Python libraries NumPy, Pandas and Matplotlib to analyze a dataset and communicate my findings about it.

csv data-analysis jupyter-notebook matplotlib numpy pandas python

Last synced: 16 Apr 2026

https://github.com/iankitnegi/python_projects

Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.

matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/pereira-elizabeth/aah-2d-hermitian

Minimal 2D AAH model: build, diagonalize, and plot spectrum (NumPy/Matplotlib)

condensed-matter numpy physics scipy tight-binding

Last synced: 07 May 2026

https://github.com/manishkumarpatel07/heartattack_risk_prediction

"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.

boruta knn-algorithm matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/rahulchouhan1/spotify-most-popular-songs-data-analysis

🎵 Spotify Songs Analysis using Pandas

matplotlib numpy pandas

Last synced: 16 Apr 2026

https://github.com/kganitis/bam-engine

High-performance Python implementation of the macroeconomic agent-based BAM model using ECS architecture

agent-based-modeling computational-economics macroeconomics numpy python

Last synced: 04 Mar 2026

https://github.com/dr-rompecabezas/page-view-time-series-visualizer

A data science project built as part of the freeCodeCamp curriculum.

matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/minjii1079/pytune

Building PyTune, a Python guitar tuner that uses PyAudio for recording, NumPy for math operations, and SciPy for FFT (Fast Fourier Transform) and signal processing.

fft guitar-tuner music numpy pyaudio python3 scipy

Last synced: 07 May 2026

https://github.com/niteshchawla/aerofit-casestudy

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 09 Apr 2026

https://github.com/mr-chang95/twitter_datawrangling

Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program

data-visualization data-wrangling dogs matplotlib numpy pandas python twitter

Last synced: 09 Apr 2026

https://github.com/supershivam5/python_projects

💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!

matplotlib-pyplot numpy pandas scikit-learn seaborn

Last synced: 17 Apr 2026

https://github.com/arnie1x/massive-dataset-lab

This project involves basic data manipulation with JSON files, focusing on tasks related to data processing of the MASSive dataset and file management.

data-science numpy pandas pandas-dataframe python3

Last synced: 07 May 2026

https://github.com/hansalemaos/npchessimage

Creates a chessboard pattern as an image.

chessboard cv2 image numpy

Last synced: 05 Mar 2026

https://github.com/miozilla/treebasedmodel

treebasedmodel :evergreen_tree::airplane::dancer: : Invistico Airline | Tree-based Modeling, Machine Learning (ML), Predictive, Decision Making, GridSearchCV, sklearn |

accuracy decisiontreeclassifier exemplar experience f1-score flight hyperparameter logistic-regression matplotlib model numpy pandas plot-tree precision pyplot recall seaborn selection train-test-split tuning

Last synced: 03 Jun 2026

https://github.com/bettenoch/yolo_real_time_object_detector

The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.

numpy object-detection object-tracking pandas python3 real-time-processing ultralytics yolov8

Last synced: 07 May 2026

https://github.com/muavia1/roman-urdu-poetry-generation-using-lstm

Here’s a short description you can add to your GitHub project: Roman Urdu Poetry Generator A deep learning project using LSTM and TensorFlow to generate Roman Urdu poetry. Trained on a poetry dataset and deployed with a Gradio interface for interactive text generation.

deep-learning gradio gradio-interface lstm model-training numpy pandas poetry-generator python tensorflow

Last synced: 09 Apr 2026

https://github.com/valmir-unicap/deteccao-de-mascaras-faciais

Experimento baseado no artigo: A Face Mask Detection Algorithm Based on YOLO

kaggle-dataset mobilenetv2 numpy opencv python torch yolo

Last synced: 12 Apr 2026

https://github.com/radinshahdaei/ce40215-nc

Theoretical and practical assignments for "Numerical Computation".

jupyter-notebook numpy python sympy

Last synced: 17 Apr 2026

https://github.com/youssefali11997/free-style-coding

Scripts written as practice, trying new technology or just playing with the code !

bash javascript numpy python3 ruby-on-rails scripts vuejs

Last synced: 12 Apr 2026

https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models

This project combines traditional machine learning approaches with advanced deep learning techniques to assist healthcare professionals in early diagnosis and improve patient outcomes.

ai deep-learning ham10000 isic kaggle machine-learning matplotlib numpy pandas python3 pytorch seaborn skin-cancer skin-detection sklearn time torchvision tqdm

Last synced: 02 Apr 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/offthetab/ml_homework

Практические работы по анализу данных МИРЭА 3 курс.

ml numpy pandas python shap sklearn xgboost

Last synced: 02 Apr 2026

https://github.com/nathadriele/transaction_fraud_prevention_pipeline

Uma solução de detecção e prevenção de fraudes em transações financeiras, combinando Machine Learning, regras de negócio e análises estatísticas avançadas. O sistema oferece um dashboard interativo para monitoramento em tempo real, análise de dados e gestão de alertas de fraude.

data-analysis data-visualization docker fraud-prevention machine-learning matplotlib numpy pandas pipeline pytest python scikit-learn scipy seaborn streamlit tensorflow transaction xgboost

Last synced: 10 Apr 2026

https://github.com/niteshchawla/clustering-ml

Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.

cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation

Last synced: 17 Apr 2026

https://github.com/mnagaharshithrao/diamondpriceprediction

Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions

machine-learning numpy pandas sckiit-learn xgboost

Last synced: 17 Apr 2026

https://github.com/kiarashyavari/python_interview

Practice intermediate to advance topics of Python here

decorators generator multiprocessing multithreading numpy pandas python python3

Last synced: 17 Apr 2026

https://github.com/orliluq/inmersion-datos-python

Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).

colab-notebook numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis

Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.

forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed

Last synced: 02 Apr 2026

https://github.com/tharushi11/titanic-data-analysis

This repository contains a simple prediction model and survival predictions based on the Titanic dataset from Kaggle, along with detailed visualizations using Power BI.

dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization

Last synced: 17 Apr 2026

https://github.com/christiemj/clock-drift-simulation

A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.

allan-variance atomic-clocks cesium-ion clock-drift matplotlib monte-carlo-simulation numpy open-science pandas physics precision-metrology python quantum-metrology research-software scipy simulation vacuum-fluctuations vacuum-noise

Last synced: 17 Apr 2026

https://github.com/tashi-2004/deep-learning-grid-world-q-learning

Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!

agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training

Last synced: 17 Apr 2026

https://github.com/navid-kalaei/numpy-neural-network

Neural network implemented in Numpy to predict bike sharing on real data

deep-learning neural-network numpy python

Last synced: 07 May 2026

https://github.com/reddyprasade/bird-classifications-problem

Birds Classification by using Scikit-learn and Scikit-image

matplotlib numpy pandas python-3 sckiit-learn sckit-image

Last synced: 08 May 2026

https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python

This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.

bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy

Last synced: 17 Apr 2026

https://github.com/shambac/shamboflow

Fierce tensorflow competitor

cuda cupy machine-learning numpy pypi-package

Last synced: 19 Feb 2026

https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning

A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.

deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow

Last synced: 03 Apr 2026

https://github.com/sahil210695/convolution-evolution

This is to see how a kernel will convolve over an image and what will be its output after convolution

cnn convolutional-neural-networks data-science image-kernel image-processing numpy numpy-neural-network python streamlit

Last synced: 10 May 2026

https://github.com/anag0es/projetos-ml

Este é um lugar onde guardo vários projetos para entender como funciona a aprendizagem de máquina. Cada projeto é uma forma de praticar o que estou aprendendo nos meus estudos.

artificial-intelligence crisp-dm data-science deep-learning learning machine-learning neural-network numpy pandas prediction-model python

Last synced: 17 Apr 2026

https://github.com/gregoritsch3/project_python_jobs_data_analysis

A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.

matplotlib numpy pandas python scipy seaborn

Last synced: 04 Apr 2026

https://github.com/khushi130404/k_means

This repository showcases 2D, 3D, and custom K-Means clustering models with visualizations. It includes both Jupyter notebooks and Python scripts for ease of reproducibility.

clustering-algorithm k-means-clustering numpy plotly sklearn

Last synced: 08 May 2026

https://github.com/yassin522/music-genre-classification

This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres

catboost matplotlib numpy pandas python sklearn

Last synced: 04 Apr 2026