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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/josafatburmeister/circle_detection

A Python package for circle fitting.

circle numpy objectdetection pointcloud python

Last synced: 09 Apr 2026

https://github.com/ravi0529/e-commerce-annual-spend-model

A basic Linear Regression model for predicting annual customer's spending

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

Last synced: 09 Apr 2026

https://github.com/faisal-khann/banking_portfolio_risk_analysis

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 21 Aug 2025

https://github.com/kasraskari/learn-python-codes

A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.

jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials

Last synced: 09 Apr 2026

https://github.com/yash-3-bit/human-activity-recognition-using-smartphone-data

Human Activity Recognition (HAR) Using Smartphone Data This project leverages smartphone sensor data to recognize human activities such as walking, running, sitting, and standing.

numpy pandas python scikitlearn-machine-learning seaborn

Last synced: 09 Apr 2026

https://github.com/mani-prakash-n-r/book_recommendation_system_using_hybrid_technique

The Book Recommendation System uses collaborative and content filtering techniques to suggest books based on user preferences and content similarity.

csv html numpy pandas python sckiit-learn

Last synced: 09 Apr 2026

https://github.com/mattmoony/ann_mnist

Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️

adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh

Last synced: 09 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_03

Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.

latex linear-regression matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/sukanyadutta52/topic_modeling

What are the most pressing concerns regarding ‘Climate Change’ among tweeters according to Topic Modeling?

climate-change gensim matplotlib nltk numpy pandas pyldavis regular-expression spacy

Last synced: 09 Apr 2026

https://github.com/subhrajit77/ai-ml

My personal AI/ML projects repository

jupyter numpy pandas python

Last synced: 09 Mar 2026

https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool

A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.

data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter

Last synced: 15 Apr 2026

https://github.com/kylehperez/mushroomnet

This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.

artificial-intelligence botany flask-api machine-learning mycology neural-network numpy python3 pytorch scikit-learn

Last synced: 09 Apr 2026

https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data

A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.

arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis

Last synced: 07 Apr 2026

https://github.com/amithjoseph777/gourmethaven-case-competition

Predictive analytics case competition project from the Master of Science in Business Analytics course at the College of Business, University of Louisville. Our team analyzed customer response trends for Gourmet Haven, developed a predictive model, and ranked in the Top 5 out of 25 teams.

google-colab jupyter-notebook numpy pandas r scikit-learn

Last synced: 10 Apr 2026

https://github.com/izhaan0/predict-marks-based-on-study-hours

Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.

data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-

As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.

bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost

Last synced: 19 Aug 2025

https://github.com/ahmedabdalkreem/naive-bayes

Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )

numpy pandas python3

Last synced: 10 Apr 2026

https://github.com/ialam085/super_store_sales_analysis_python

The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.

charts matplotlib numpy pandas python seaborn visualization

Last synced: 10 Apr 2026

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

🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.

jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn

Last synced: 28 Apr 2026

https://github.com/liblaf/array-typing

🧮 Type-safe array operations for NumPy, JAX, and PyTorch

array code-quality documentation jax numpy python static-analysis torch type-hints typing

Last synced: 19 Aug 2025

https://github.com/harmanveer-2546/covid-19-chances-detection

The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.

covid-19 covid-data logistic-regression matplotlib mlp-classifier numpy pandas python random-forest seaborn sklearn-library xgboost

Last synced: 10 Apr 2026

https://github.com/nickklos10/compressive-strenght-prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/alimiheb/morphotype-web-app

A modern web application that analyzes body morphotypes (Ectomorph, Mesomorph, Endomorph) using MediaPipe AI and provides personalized fitness and nutrition plans.

body-tracking flask mediapipe numpy opencv pandas pillow python3

Last synced: 10 Apr 2026

https://github.com/mayankmittal29/pagesage-ai_urls_content_scraper_webapp

PageSage is a modular web scraping and semantic retrieval system using BeautifulSoup for extraction, SentenceTransformers for dense embeddings, and ChromaDB for scalable vector search—enabling efficient data indexing for advanced RAG pipelines.

beautifulsoup chromadb fastapi gpt-turbo numpy openai-api python3 question-answering rag react requests sentence-transformers tailwindcss web-scraping

Last synced: 10 Apr 2026

https://github.com/ledsouza/machine-learning-introducao-a-classificacao-com-sklearn

Explorar classificação por machine learning, analisando algoritmos em exemplos cotidianos, comparando técnicas e entendendo o aprendizado de máquina por trás, com abordagem científica.

graphviz matplotlib numpy pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/beyzabasarir/northwind-traders-analysis

Northwind dataset analysis using PostgreSQL, Python, and Power BI. Focused on sales, customers, shipping, and performance insights.

dashboard data-analysis data-visualization jupyter-notebook matplotlib numpy pandas postgresql powerbi python seaborn

Last synced: 10 Apr 2026

https://github.com/dhaase-de/dito

Yet another toolbox for the daily work with OpenCV under Python.

numpy opencv python

Last synced: 22 Aug 2025

https://github.com/gaurav-0211/seaborn-for-data-visualization

This Project aims to different plotting methods using seaborn for data Visualization.

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

Last synced: 20 Apr 2026

https://github.com/rotantos/ml-projects

Includes various ML projects created for educational purposes.

classification-model jupyter-notebook machine-learning numpy pandas python sklearn-library

Last synced: 10 Apr 2026

https://github.com/aymen016/cosmic-mystery-challenge-2912

"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"

kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn

Last synced: 10 Apr 2026

https://github.com/prince-pastakiya/human-resources-tableau-project

👥 Interactive Tableau dashboard for HR analytics — includes workforce overview, demographics, income analysis, and detailed employee records with full filtering.

chatgpt data-analysis data-visualization human-resources numpy python python-faker tableau-dashboards tableau-public

Last synced: 18 Apr 2026

https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model

Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.

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

Last synced: 10 Apr 2026

https://github.com/sawaira-iqbal/data-visualization-project-on-car-sales-data

Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.

bivariate-analysis data-science data-visualization interactive-visualizations matplotlib multivariate-analysis numpy plotly python seaborn univariate-analysis

Last synced: 12 Apr 2026

https://github.com/tomdewildt/google-foobar

Solutions for the Google Foobar problems implemented in Python

foobar google numpy pylint python

Last synced: 22 Feb 2026

https://github.com/zenithclown/agine

Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.

bearing bearing-calculations distance-calculation euclidean-distance geometry haversine manhattan-distance nearest-neighbor-search numpy pandas rasterio shapely

Last synced: 28 Jan 2026

https://github.com/quickheaven/scs-3251-statistics-for-data-science

Repository dedicated to Term Project of UofT Statistics for Data Science Course

data-science jupyter-notebook logistic-regression numpy pandas python

Last synced: 10 Apr 2026

https://github.com/shubhammittal-data/hr_dashboard_tableau

An interactive HR Analytics Dashboard built using Tableau. Provides insights into workforce demographics, hiring trends, salary analysis, and employee records for data-driven decision-making.

chatgpt4 data data-analysis data-visualization drawio-tools faker-generator hr-analytics hr-analytics-dashboard human-resources numpy python tableau tableau-public

Last synced: 17 May 2026

https://github.com/jhonatanthiago/projeto_analise_de_dados_com_python

A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.

jupyter-notebook nbformat numpy openxyl pandas plotly python

Last synced: 10 Apr 2026

https://github.com/vrush9840/emotion-detection-from-tweets-using-dl

Emotion detection from tweets using Deep Learning (LSTM & BERT) to classify emotions such as Positive, Negative, Neutral, and Irrelevant with emoji recommendations.

glove-embeddings lstm matplotlib nltk numpy pandas python seaborn shap tensorflow

Last synced: 10 Apr 2026

https://github.com/nirmit27/credit-risk-modeling

Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.

credit-risk credit-risk-analysis machine-learning ml ml-model ml-models modelling numpy pandas python python3 sckiit-learn

Last synced: 29 Apr 2026

https://github.com/hasnainroopawalla/sudoku-generator

This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking

backtracking numpy python sudoku-generator

Last synced: 16 May 2026

https://github.com/teslaproduuction/data_analiz_al

Прогнозирование курса алюминия с использованием модели ARIMAX

arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library

Last synced: 10 Apr 2026

https://github.com/sujal2004/stock-analysis-project

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

jupyter-notebook matplotlib numpy pandas python stock-market

Last synced: 10 Apr 2026

https://github.com/screamman-ssh/video-camera-to-ascii

Convert a video file or camera captured to display as text.

ascii camera-to-text computer numpy opencv pillow python python-3 video-to-text

Last synced: 10 Apr 2026

https://github.com/shreeparab1890/duplicate-question-predictor

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost

Last synced: 05 Apr 2026

https://github.com/fatimaafzaal/car_price_prediction

Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.

car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/ahmedabdalkreem/machine_learning_with_cv

In this project work to extraction feature from shapes to be input of machine learning model.

chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model

Last synced: 10 Apr 2026

https://github.com/als8446/tripleten-data-science-projects

Projects Overview Projects made in the Data Scientist course from TripleTen LatAm

data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn

Last synced: 10 Apr 2026

https://github.com/roaajadaa/text-classification

Classify documents using custom naïve bayes model

matplotlib nlp nltk numpy pandas python sklearn

Last synced: 10 Apr 2026

https://github.com/lorenzorottigni/ml-iris-svm

Machine Learning python bootcamp: Support Vector Machines on iris flower dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 10 Apr 2026

https://github.com/gaball1/alzheimer-prediction-ai

Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .

ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/lfgodoi/rpm-deep-estimator

A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.

condition-monitoring deep-learning docker flask neural-networks numpy python scipy signal-processing spectral-analysis

Last synced: 26 Feb 2025

https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis

This project aims to analyze the differences in hippocampus size between two groups: "Unaffect" and "Affected" using pandas, numpy and matplotlib

jypyternotebook matplotlib numpy pandas pyreadr seaborn statsmodels

Last synced: 16 Apr 2026

https://github.com/sarincr/training-on-artificial-intelligence

Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training

artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn

Last synced: 10 Apr 2026

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

Foi desenvolvido um modelo preditivo específico para atrair mais motoristas durante o horário de pico. Prever a quantidade de pedidos de táxi para a próxima hora.

matplotlib-pyplot numpy pandas python seaborn sklearn statsmodels

Last synced: 10 Apr 2026

https://github.com/pramodyasahan/car-safe-predictor

This repository contains a machine learning project that applies the K-Nearest Neighbors (KNN) classification algorithm to predict car safety ratings. The project uses a dataset of cars, with features such as buying price, maintenance cost, number of doors, persons, lug boot size, and safety.

classification k-nearest-neighbours machine-learning numpy pandas scikit-learn

Last synced: 10 Apr 2026

https://github.com/psavarmattas/covid19-dashboard

The goal of this project is not to build just another dashboard for Covid 19. But, to focus on collaborative plot ideas, and a mobile friendly UI/UX.

appseed bootstrap covid covid-19 css dashboard django docker html javascript json numpy plotly python travis-ci

Last synced: 10 Apr 2026

https://github.com/the-developer-306/neural-style-transfer

Neural Style Transfer project leveraging TensorFlow and VGG19 to blend artistic styles with content images. Features include style and content initialization, multi-layer feature extraction, total variation loss, and post-processing enhancements like sharpening, upscaling, and brightening.

deep-learning image-processing neural-style-transfer numpy opencv-python post-processing tensorflow transfer-learning vgg19

Last synced: 01 May 2026

https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project

This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.

matplotlib numpy pandas python scikit-learn seaborn tensorflow

Last synced: 10 Apr 2026

https://github.com/ngangawairimu/automating_farming_analysis

This project automates farming in Maji Ndogo, analyzing soil fertility, climate, and geography to recommend optimal crop locations. Python-based data analysis I uncovers patterns guiding farming practices.

matplotlib-pyplot numpy pandas python seaborn sqlite

Last synced: 10 Apr 2026

https://github.com/nihalrt/lung-cancer-data-analysis-

This is a data analysis report, created with python pandas, numpy, matplotlib, and seaborn. Provides valuable insights into the symptoms of lung cancer from a survey set.

matplotlib numpy pandas python seaborn

Last synced: 26 Jan 2026

https://github.com/rooneyrulz/cat-dog-classifier

Building a model using a convolutional neural network that well-classifying custom cat vs dog image data. including visualizations, data-preprocessing, future predictions, model-evaluation, identifying overfitting, and more.

artificial-intelligence convolutional-neural-networks data-preprocessing data-visualizations deep-learning keras matplotlib numpy pandas predictive-modeling python3 seaborn tensorflow2

Last synced: 10 Apr 2026

https://github.com/smirnovlad/data-science-notebooks

A collection of various data analysis approaches

data-science deep-learning kaggle machine-learning numpy pandas pytorch

Last synced: 10 Apr 2026

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

classification machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/shivammg/coursera-ml-numpy

Coursera Machine Learning course done using Python, NumPy, and Seaborn

machine-learning numpy python seaborn

Last synced: 09 May 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33