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/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest

Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨

essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn

Last synced: 03 May 2026

https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening

A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.

aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/ikaushikpal/ml_prerequisite

In this repository, I'm just practicing the basics of data visualizing and data clearing, thanks for checking my repo

jupyter-notebook matplotlib numpy pandas python

Last synced: 28 Apr 2026

https://github.com/alisonmitchell/boston-housing

Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.

data-science machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn

Last synced: 10 Apr 2026

https://github.com/mgobeaalcoba/pandas_y_numpy

Trabajos realizados con estas librerías de Python para manejo de datos.

data-analysis data-science dataset numpy pandas python

Last synced: 28 Apr 2026

https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation

Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.

hashlib numpy opencv3 python streamlit-webapp

Last synced: 28 Apr 2026

https://github.com/mrbrain295/prime-finder

pip install prime-finder-mammillaria for installation

numpy prime-numbers python3

Last synced: 28 Apr 2026

https://github.com/kritimbist/365-days-of-github-challenge-ai-machine-learning

This repository is part of my 365 Days Challenge: AI × Machine learning, where I combine my passion for Machine Learning 🤖 to learn, build, and document projects every single day for one year.

data-science data-visualization deep-learning machine-learning matplotlib numpy python scikit-learn

Last synced: 28 Apr 2026

https://github.com/hpennington/mono-visual-odometry

Monocular Visual Odometry in NumPy

computer-vision numpy opencv python

Last synced: 28 Apr 2026

https://github.com/vtramo/neural-networks-experiments-from-scratch

The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.

activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent

Last synced: 28 Apr 2026

https://github.com/khaymanii/parkinsons-disease-detection-model

This model was built with Python and Support Vector Machine Algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 19 Apr 2026

https://github.com/patilni3/python_data_analysis

Important Tools and its Functions

excel matplotlib numpy pandas seaborn

Last synced: 28 Apr 2026

https://github.com/williyam-m/movie-recommendation-system

Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.

django machine-learning numpy pandas prediction-model python scikit-learn

Last synced: 10 Apr 2026

https://github.com/princeofpuppers/qbot

A Domain-Specific Programming Language for Analyzing Quantum Algorithms

esoteric-language numpy probabilistic-programming quantum-computing quantum-programming-language

Last synced: 28 Apr 2026

https://github.com/sureshbeekhani/machine-learning-algorithms

A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.

dataanalysis datascience featurescaling linearregression machinelearning matplotlib numpy pandas python seaborn

Last synced: 28 Apr 2026

https://github.com/datarohit/car-evaluation--classification

This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.

classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn

Last synced: 28 Apr 2026

https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model

This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO

efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow

Last synced: 28 Apr 2026

https://github.com/burakkagann/pixels2genai-2.0

Free, open-source curriculum teaching generative art and AI across 15 modules, from a single pixel to diffusion models.

computer-vision creative-coding curriculum deep-learning design-based-research diffusion-models education gans generative-ai generative-art machine-learning numpy pytorch touchdesigner vae

Last synced: 19 Jun 2026

https://github.com/quantum-software-development/statistical-measures

This repository contains a statistical analysis of customer service ratings for Biscobis Ltd

machine-learning mathematics mathp mathplotlib measurements numpy pandas puthon3 seaborn statisctics

Last synced: 12 Apr 2025

https://github.com/nemeslaszlo/sale-price-of-bulldozers

The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)

matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn

Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.

matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction

Last synced: 10 Apr 2026

https://github.com/lakhidaksh-01/carinsightanalyzer

Interactive Car Ratings & Insights

cars matplotlib numpy pandas python seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/aaa1928/iris-ml-classifier

PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.

deep-learning iris-classification iris-dataset machine-learning neural-network numpy pandas python pytorch scikit-learn

Last synced: 05 Apr 2026

https://github.com/anvesham/machinelearning_models_using_matlab

Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers

bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression

Last synced: 11 Apr 2026

https://github.com/mayankmittal29/stockvision

Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.

keras lstm-neural-networks matplotlib-pyplot mplfinance numpy pandas python scikit-learn streamlit yfinance-api

Last synced: 07 Apr 2026

https://github.com/carlolepelaars/q4p

Quantum Computing for (Python) Programmers

numpy python quantum quantum-computing

Last synced: 11 Apr 2025

https://github.com/aarryasutar/credit_eda

This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.

binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 13 Apr 2026

https://github.com/letiziaia/dsp_2021

Basic Python code snippets for data science students

data-science numpy pandas python

Last synced: 09 May 2026

https://github.com/supriya811106/healthcare-recommedation-system

A Flask-based web app that predicts diseases based on symptoms and recommends specialized doctors. It uses machine learning for accurate health predictions and location-based doctor searches.

css flask-application healthcare-application html javascript machine-learning numpy pandas recommendation-system scikit-learn

Last synced: 04 Mar 2026

https://github.com/gokulgowthams/smart-premium

An Interactive Premium Amount Detection for user which accurately predicts the required premium amount for a default loan by using series of questions that satisfies the criteria in Streamlit Application

data-preprocessing feature-engineering git github mlflow model-deployment numpy pandas python scikit-learn streamlit xgboost

Last synced: 11 Apr 2026

https://github.com/abhinav330/data-science-projects

The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.

decision-trees exploratory-data-analysis k-means-clustering k-nearest-neighbours kaggle linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly python random-forest-classifier support-vector-machines

Last synced: 30 May 2026

https://github.com/kientech/diabetes-prediction-with-machine-learning

The Diabetes Prediction with Machine Learning project aims to predict the likelihood of an individual developing diabetes based on various health parameters and demographic information.

fastapi machine machine-leaning matplotlib mongodb numpy pandas python reactjs seaborn

Last synced: 20 Jun 2025

https://github.com/mehraaaaa24/stockpriceprediction

A real-time web app that predicts stock prices using an LSTM model, visualizes data with moving averages, and allows user input for stock symbols.

jupyter-notebook keras lstm-neural-networks matplotlib numpy pandas python streamlit tensorflow yfinance

Last synced: 15 Feb 2026

https://github.com/swaathi/cpt-recommendation

Collaborative Filtering using User-Item and Item-Item Models

collaborative-filtering numpy recommendation-system scikit-learn

Last synced: 08 May 2026

https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-

This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state

dlib dlib-face-detection numpy opencv-python pygame python pyttsx3 scipy

Last synced: 13 Apr 2026

https://github.com/drcbeatz/aynm-data

Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)

automation aws-textract csv data-analysis data-cleaning ipynb numpy ocr pandas python reverb selenium shopify webscraping xml

Last synced: 07 Mar 2026

https://github.com/roma-glushko/numpy-katas

🧮 Exercises to sharp scientific computations with Numpy

katas numpy

Last synced: 18 May 2026

https://github.com/imswappy/brain-tumor-detection

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.

kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model

Last synced: 13 Apr 2026

https://github.com/mgobeaalcoba/matplotlib_y_seaborn

Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.

data-analysis data-science data-visualization dataset matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/abdul-rafay19/cnnect-classifier

A real-time image classification app built with PyTorch and deployed using Streamlit. CNNect-Classifier uses a custom-trained CNN on the CIFAR-10 dataset to predict image classes with confidence scores. Designed to demonstrate end-to-end deep learning deployment — from training to user-facing web app.

ai artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks cifar-10 cifar10 cnn cnn-classification cnn-model cnnect deep-learning machine-learning neural-network neural-networks numpy python pytorch pytorch-cnn streamlit streamlit-webapp

Last synced: 11 Apr 2026

https://github.com/emperoryp7/covid-simulator

Application simulating the spread of COVID-19

covid-19 numpy pandemic-simulator python3 simulator

Last synced: 18 May 2026

https://github.com/steventete/integral-app

IntegralApp is a Python-based GUI application designed to simplify the calculation of definite integrals using numerical methods.

desktop-app numerical-methods numpy pyqt5 python

Last synced: 18 May 2026

https://github.com/olutosinbanjo/direction_field

Plotting a Direction Field with Python (Intel® DevMesh Project)

cloud devcloud dpctl dppy heterogeneous-computing high-performance-computing intel intel-xpu numba numpy python3

Last synced: 04 Apr 2025

https://github.com/pvlbzn/kot-or-not

Logistic regression (shallow neural network) which predicts whether input image is a cat or not.

classification-algorithm image-classification logistic-regression machine-learning neural-network numpy

Last synced: 01 Mar 2025

https://github.com/codewitheshayoutube/corvit_python_data_analytics_course

I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!

matplotlib numpy pandas python python3 scikitlearn-machine-learning seaborn

Last synced: 13 Apr 2026

https://github.com/zion-dev1/e-commerce-analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 05 Jul 2025

https://github.com/aahad91/idv

Interactive Data Visualization - Master Course

matplotlib numpy pandas plotly python3

Last synced: 08 May 2026

https://github.com/reusjimenez/data-analysis-labs

Casos completos y ejercicios prácticos de análisis de datos. 📊

data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy panel python sklearn

Last synced: 04 Apr 2025

https://github.com/gauranshgoel123/predictive-demand-analysis

Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend

chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render

Last synced: 13 Apr 2026

https://github.com/salmandeveloperz/ml_house_prediction

project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.

classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn

Last synced: 10 Apr 2026

https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction

An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.

eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/mchenryspagg/prosper-loan-project

A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data

datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots

Last synced: 13 Apr 2026

https://github.com/prashver/customer-segmentation

This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.

customer-segmentation matplotlib numpy pandas seaborn sklearn

Last synced: 07 Apr 2026

https://github.com/jaypanchal9/spotless-data

Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.

data-cleaning data-preprocessing data-wrangling matplotlib numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using

The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.

classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization

Last synced: 13 Apr 2026

https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024

The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.

cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister

Last synced: 11 May 2026

https://github.com/minhqdao/npy

Read and write NumPy binary files (.npy and .npz formats) in Dart.

array dart dartlang flutter library ndarray npy npz numpy package plugin pub pub-dev

Last synced: 15 Jan 2026

https://github.com/hossein-cod/deep-learning-for-training

Analysi hear disease data set with deep learning

accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow

Last synced: 09 Mar 2026

https://github.com/abhijeet107/electric-vehicle-sales-by-state-in-india

This project analyzes EV sales data across Indian states, focusing on sales distribution by vehicle type, category, and region.

matplotlib numpy pandas powerbi python seborn

Last synced: 04 May 2026

https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis

This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.

backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning

Last synced: 16 Feb 2026

https://github.com/gauravsakure02/python_libraries

Data Analysis using Python libraries

matplotlib numpy pandas-library streamlit

Last synced: 14 Apr 2026

https://github.com/arjunan-k/netflix_analysis

Exploratory Data Analysis on Netflix Movies & TV Shows.

matplotlib numpy pandas plotly seaborn

Last synced: 09 May 2026

https://github.com/alicbm/learnlytics-code

Repositorio oficial de LearnLytics, una plataforma de tutoriales sobre análisis de datos, ciencia de datos, programación y economía. Aquí encontrarás los códigos y bases de datos utilizados en nuestros tutoriales, junto con documentación detallada para su implementación. 🚀

analisis-de-datos automation economia estadistica machin matplotlib mysql numpy pandas programming python r selenium webscraping

Last synced: 10 Apr 2026

https://github.com/amorehead/ml-fundamentals

A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.

machine-learning numpy pandas python scipy sentdex tensorflow tflearn

Last synced: 13 Apr 2026

https://github.com/imaginesamurai/advanced-vision-system

A Python-based camera handling utility that provides seamless control over video capture with advanced zoom functionality. Features include adjustable resolution, smooth digital zoom controls, and efficient frame processing, ideal for computer vision applications.

camera computer-vision cv2 cv2-library night-vision night-vision-camera night-vision-goggles numpy opencv opencv-python python python3 real-time realtime stable supoort thermal thermal-camera thermal-images video

Last synced: 16 Apr 2026

https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning

This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics

data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn

Last synced: 23 Jul 2025

https://github.com/Vice777/SAFE-HEART

Classify the chances of having a Heart Attack based on your Heart's Condition.

kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp

Last synced: 11 Mar 2025

https://github.com/savernish/forgenn

forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.

artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors

Last synced: 08 Oct 2025

https://github.com/cesarmartinez7/anchorports

Escaneador de puertos hecho en python con la libreria de nmap-python y Scapy.

arp colorama-librairy nmap numpy pyfiglet python python-nmap scapy-library

Last synced: 18 May 2026

https://github.com/rish-16/linearly

Discount NumPu implementation using barebones Linear Algebra concepts

linear-algebra numpy

Last synced: 19 May 2026

https://github.com/nazli-d/binary-classification-using-cnn

This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.

binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow

Last synced: 13 Apr 2026