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/miltiadiss/ceid_ne562-data-mining-and-machine-learning-algorithms

This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 2 algorithms, comparing their effectivenes.

matplotlib numpy pandas seaborn sklearn sklearn-metrics

Last synced: 15 Apr 2026

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/vidhi1290/hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp

Last synced: 13 Apr 2026

https://github.com/ngirimana/ml_knn

Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.

artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon

Last synced: 12 Apr 2026

https://github.com/vustron/car_price_predictor_backend

The backend server for the machine-learning model for prediction of car price

flask flask-api flask-backend flask-restful machine-learning numpy pandas python rest-api

Last synced: 15 Apr 2026

https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-

Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.

artificial-intelligence gradient-descent linear-regression machine-learning matplotlib numpy pandas scikit-learn-python

Last synced: 08 May 2026

https://github.com/ananas1kexe/clap-to-rickroll

A Python-based utility that detects double claps via microphone to automate system actions. It forces volume to 100% via ALSA and triggers a multi-tab browser prank. Uses NumPy for real-time acoustic sharpness analysis.

audio-processing automation claps-detection cybersecurity-prank dsp numpy python rickroll

Last synced: 11 May 2026

https://github.com/bunu23/image-classification-resnet50-streamlit

This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.

cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow

Last synced: 07 Apr 2026

https://github.com/hq969/customer-churn-prediction-with-hyperparameter-optimization-and-model-deployment

A complete end-to-end machine learning project that predicts customer churn using the Telco dataset. It includes data preprocessing, exploratory data analysis (EDA), model training with Random Forest, hyperparameter tuning, evaluation, and deployment via a Flask API.

flask numpy pandas python scikit-learn xgboost

Last synced: 02 Apr 2026

https://github.com/platonn/comp-photography

Computational Photography course - University of Wroclaw

computational-photography image-processing numpy university-course

Last synced: 19 Jun 2026

https://github.com/raulpy271/videoinascii

๐Ÿ–ผ๏ธ this program show a video in terminal with ascii-art style

ascii-art ffmpeg numpy python video-processing

Last synced: 08 May 2026

https://github.com/sakshisrivastava-2601/credit-card-fraud-detection

Credit Card Fraud Detection Project Using Machine Learning. This project focuses on leveraging advanced Machine learning techniques to identify fraudulent transactions with high accuracy.

advanced-machine data machine-learning numpy project-repository python pytorch random-forest

Last synced: 16 Apr 2026

https://github.com/shahinuralambhuiyan/learning-ml

Start learning Machine Learning basic from CodeBasics Channel

anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python

Last synced: 12 Apr 2026

https://github.com/piyush1927/flightforecast

ML model to predict flight prices based on various features like departure time, arrival time, duration, airline, source, destination, and number of stops.

machine-learning mathplotlib numpy pandas scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression

This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.

curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split

Last synced: 10 Apr 2026

https://github.com/chandadiya2004/mnist-digit-classification

This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the MNIST dataset. The project covers data loading, preprocessing, model training, evaluation, and accuracy visualization.

confusion-matrix cv2 google-colab-patches keras matplotlib-pyplot numpy pillow python seaborn tensorflow

Last synced: 12 Feb 2026

https://github.com/lasithaamarasinghe/face-recognition

This project demonstrates a basic face recognition system using Python, OpenCV, and the face_recognition library.

cmake computer-vision dlib face-recognition numpy opencv python visualstudiocode

Last synced: 16 Apr 2026

https://github.com/fsubject/rotating-cube

Rotating Cube is a 3D engine made from scratch

3d 3d-engine 3d-graphics from-scratch numpy pygame python

Last synced: 31 Jan 2026

https://github.com/prashver/stock-price-prediction-lstm

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.

keras lstm-model matplotlib numpy pandas recurrent-neural-network

Last synced: 12 Apr 2026

https://github.com/framebuffers/mindhunter

Wrappers for Pandas DataFrames to add quicker access for common statistical values, utilities and functionality.

data-analysis data-science numpy pandas python utilities-python

Last synced: 08 May 2026

https://github.com/grampers-dev/co2oracle

The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.

artificial-intelligence machine-learning numpy pandas python scikit-learn

Last synced: 07 Feb 2026

https://github.com/adalbertobrant/macd

Estudando sobre o uso do streamlit com geraรงรฃo de grรกficos e dados da B3

bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks

Last synced: 07 Feb 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/bsc-dom/npp2nvm

NumPy Persistence to Non-Volatile Memory

numpy nvm persistent-data-structure pmdk

Last synced: 04 Mar 2026

https://github.com/muhamedayoub/numerical-analysis-project

This repository contains an academic project for the numerical analysis module.

analysis mathematics matplotlib numpy r

Last synced: 09 May 2026

https://github.com/rkarahul/machinelearning

This is for my all machine learning code

analysis computer-vision matplotlib mysql nlp numpy pandas python

Last synced: 11 Apr 2026

https://github.com/607011/1dollar

Simulation of a counterintuitive distribution problem

animation go golang matplotlib numpy plot python3 simulation statistics

Last synced: 09 May 2026

https://github.com/kavayk29/quora-duplicate-question-pair

This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.

beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost

Last synced: 21 Jan 2026

https://github.com/aniketmondal/da_youtube_popular_videos

Analysis of current most popular YouTube videos. Contains real-life data collection using API, storing data in Cloud database, analysis of various data types in Pandas, and creating visualizations using Seaborn, Matplotlib.

cloud-database compute-engine data-cleaning data-science data-wrangling datetime-library google-cloud-platform ipython-notebook matplotlib numpy pandas pgadmin4 postgresql psycopg2 python python-dotenv seaborn virtual-machine youtube-api-v3

Last synced: 13 Feb 2026

https://github.com/nemeslaszlo/dog_breed_identification

Dog breed identification model to identify and label 120 different dog breeds.

matplotlib numpy pandas tensorflow tensorflow-hub

Last synced: 13 Apr 2026

https://github.com/alexcoder04/image-edit

A Python GUI for basic image editing, school project

fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject

Last synced: 09 May 2026

https://github.com/arshitarora/image-overlaying-prespective

Perform perspective warping and image fusion in Python using OpenCV and NumPy. Select four points on the base image to define the region where the subject image will be warped and fused. The script creates a fused image and saves it as Final_Output.png. ๐Ÿ–ผ๏ธ๐ŸŒŒ๐Ÿ”ฎ

image numpy opencv python swap

Last synced: 09 May 2026

https://github.com/cploutarchou/covid-19-tracker-django-app

COVID-19 Tracker Dashboard for Cyprus.

django numpy pandas plotly redis

Last synced: 11 Apr 2026

https://github.com/ramamagarwal/mathematical-simulation-projects

This repository comprises my math modelling-based projects covering topics of Linear Algebra, Probability and Statistics.

matplotlib numpy python sympy

Last synced: 16 Apr 2026

https://github.com/abtaaahi/smartxi

SmartXI โ€” A Streamlit app to recommend football teams based on budget, formation, and style, plus predict player market values using machine learning models. Easy setup and interactive visualizations included.

machine-learning machine-learning-algorithms numpy pandas plotly python random-forest streamlit

Last synced: 13 Apr 2026

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

ะญั‚ะพ ั€ะตะฟะพะทะธั‚ะพั€ะธะน, ะฒ ะบะพั‚ะพั€ะพะผ ั ะดะตะผะพะฝัั‚ั€ะธั€ัƒัŽ ัะฒะพะธ ะฝะฐะฒั‹ะบะธ, ะดะตะปัŽััŒ ะฟั€ะพะตะบั‚ะฐะผะธ ะธ ะพั‚ัะปะตะถะธะฒะฐัŽ ะฟั€ะพะณั€ะตัั ะฒ ะพะฑะปะฐัั‚ะธ ะฐะฝะฐะปะธะทะฐ ะดะฐะฝะฝั‹ั… ะธ Data Science.

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

Last synced: 25 Feb 2026

https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.

This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.

big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python

Last synced: 11 Apr 2026

https://github.com/g-eoj/cv-tl-keras

Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.

cross-validation keras numpy scikit-learn transfer-learning

Last synced: 10 Apr 2026

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

Este projeto tem como objetivo analisar os dados de um aplicativo fictรญcio de caronas. Encontrar padrรตes nas informaรงรตes disponรญveis, entender as preferรชncias dos passageiros e o impacto de fatores externos nas corridas.

math matplotlib numpy pandas python3 seaborn sql

Last synced: 09 May 2026

https://github.com/rubinlake/rl-academy-data-analytics

Educational data analysis project demonstrating BMW sales data analysis with AI-powered code assistance using Cursor IDE and Jupyter notebooks

cursor-ide data-analysis educational-project jupyter langchain matplotlib numpy pandas python scipy seaborn

Last synced: 09 May 2026

https://github.com/michaelfeil/lstm-dlnn2020

Character-LSTM implementation in Numpy

lstm nlp-machine-learning numpy

Last synced: 14 May 2026

https://github.com/sralter/sustainability_insights

A data analysis project that derived insights from an emissions dataset sourced from Climate TRACE.

duckdb eda matplotlib numpy pandas tableau

Last synced: 12 Feb 2026

https://github.com/anishshinde01/machine-learning-exercises

Python implementations of machine learning, statistics, and mathematical foundations.

linear-algebra machine-learning machine-learning-algorithms matplotlib numerical-analysis numpy python scikit-learn scipy statistics

Last synced: 11 Jun 2026

https://github.com/drewstone/katz-centrality

Katz centrality of a wheelgraph

centrality graphs networks numpy

Last synced: 16 Apr 2026

https://github.com/datarohit/tps-january-2022--kaggle-competition

Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.

kaggle-competition matplotlib numpy pandas regression-algorithms seaborn

Last synced: 09 May 2026

https://github.com/datarohit/imdb-reviews-sentiment-analysis

This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.

bernoulli-naive-bayes classification count-vectorizer multinomial-naive-bayes nltk numpy pandas porter-stemmer regex sentiment-analysis sklearn

Last synced: 29 Apr 2026

https://github.com/mamtapanda088/uber-data-analysis

Uber data analysis involves studying trip trends, peak hours, popular locations, fare patterns, and visualizing insights using Python.

jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 15 Apr 2026

https://github.com/korolev2512/compliance-audit

Program for optimizing a set of activities based on network planning and management methods

copy matplotlib networkx numpy openpyxl os pandas python3 tkinter

Last synced: 16 Apr 2026

https://github.com/alvinmurimi/jumia

Data analysis on smartphones listed on jumia.co.ke

beautifulsoup4 jumia matplotlib numpy pandas scraping seaborn

Last synced: 09 May 2026

https://github.com/sebsikora/curve_fitting

A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.

curve-fitting minimisation numpy optimisation python scipy

Last synced: 13 Apr 2026

https://github.com/ishutak/disease_prediction

An AI-powered disease prediction system that uses machine learning to predict diseases based on symptoms. The system employs an ensemble of models including Random Forest and Neural Networks to provide accurate predictions with confidence levels.

css3 htlm5 javascript jquery numpy pandas pytorch scikit-learn select2

Last synced: 11 Apr 2026

https://github.com/deusares/drawerfunctions

A collection of PIL, Numpy and OpenCV functions to manipulate images

generative graphic image-processing numpy opencv pil pillow python

Last synced: 09 May 2026

https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning

This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.

decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc

Last synced: 18 Jan 2026

https://github.com/datarohit/garbage-image-classification

This is Garbage Image Classification End-To-End Project built using Python and Streamlit.

cnn-classification cnn-keras inceptionv3 keras-tensorflow matplotlib numpy

Last synced: 30 Apr 2026

https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model

Last synced: 14 Apr 2026

https://github.com/akshaypatra/expression_detector

The Expression Detector is an AI-based system that identifies and classifies human facial expressions in real-time . It utilizes computer vision and deep learning techniques to analyze facial features and determine the emotional state of a person, such as happiness, sadness, anger, surprise, fear, disgust, or neutrality.

keras-tensorflow neural-network numpy opencv-python python3

Last synced: 30 Apr 2026

https://github.com/datarohit/fifa-2020--data-analysis

This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.

exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn

Last synced: 10 Apr 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/zazi2002/neuroscience-reinforcement-learning

Neuroscience of Learning, Memory, Cognition project, containing a Jupyter notebook implementing a reinforcement learning approach for a neuroscience-related task.

deep-learning matplotlib numpy pytorch reinforcement-learning

Last synced: 30 Apr 2026

https://github.com/avijit-jana/used-car-price-prediction

A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.

carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication

Last synced: 11 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_08

ะœะพะดัƒะปัŒ 8. ะ“ะปะธะฑะพะบะต ะฝะฐะฒั‡ะฐะฝะฝั. Tensorflow.

classification data-science matplotlib minst numpy pandas python sklearn tensorflow

Last synced: 14 Apr 2026

https://github.com/codehass/facial-emotional-detection

Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.

cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow

Last synced: 12 Apr 2026

https://github.com/yyhsong/ipydataanalysis

Pythonๆ•ฐๆฎๅˆ†ๆžไธŽๅฑ•็คบ

matplotlib numpy pandas scipy

Last synced: 12 Apr 2026

https://github.com/rakibhhridoy/exploratorydataanalysis-python

Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.

ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest

Last synced: 30 Apr 2026

https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset

Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.

deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models

Last synced: 18 Feb 2026

https://github.com/briankopp/fewerbytes

compress numpy arrays. binary and numeric techniques for numpy compression

compress compression numpy python python3 storage

Last synced: 18 May 2026

https://github.com/qua77i20/ai2

A simple single-layer neural network (perceptron) built in Python. Demonstrates backpropagation training from scratch for beginners.

ai backpropagation data-science deep-learning machine-learning neural-network numpy perceptron python

Last synced: 15 May 2026

https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn

Last synced: 12 Apr 2026

https://github.com/yessasvini23/deepfake_immunization_toolkit

๐Ÿ›ก๏ธ AI-powered toolkit to detect deepfakes, educate users, and verify content authenticity using federated learning and blockchain. Built for election security, media integrity, and digital literacy.

blockchain matplotlib numpy opencv python pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/carlthome/ipytoolbox

A collection of IPython magics and other utilities

ipython jupyter matplotlib numpy

Last synced: 18 Jan 2026

https://github.com/chuvalniy/torchy

Built from scratch neural network library using only NumPy

backpropogation from-scratch gradient math neural-net numpy pytorch-like

Last synced: 01 May 2026

https://github.com/epsoft/tensorflow-basics

Tensorflow Basics

basics numpy tensorflow

Last synced: 01 May 2026

https://github.com/cyberoctane29/unicorn-companies-analysis

This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.

data-analysis eda numpy pandas python

Last synced: 02 May 2026

https://github.com/athari22/house_sales_in_king_count_usa

The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.

analysis data data-science data-visualization ibm ibm-watson linearregression machine-learning matplotlib numpy pandas sklearn-library

Last synced: 01 May 2026

https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning

Last synced: 04 May 2026