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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/secary/maths7027

Mathematical Foundations of Data Science

latex mathematics numpy pandas

Last synced: 04 May 2026

https://github.com/williamfridh/umu_5tf078_paper_keyboard_tracker

Project exploring how a CNN alongside computer vision can be used to detect drawn keys and track finger input,.

cnn-classification computer-vision keras-tensorflow numpy python tensorflow

Last synced: 07 Jan 2026

https://github.com/rkarahul/ok.win-big-small-predictor

Predict the next “Big” or “Small” outcome on the OK.Win lottery-style game using OCR + time-series features + ML.

joblib numpy opencv-python paddleocr paddlepaddle paddlepaddle-gpu pandas python sckit-learn

Last synced: 13 Apr 2026

https://github.com/sunilsm7/numpy-starter

IPython Notebook(s) demonstrating NumPy functionality.

numpy python

Last synced: 13 Apr 2026

https://github.com/rajsinha7/hand-gesture-recognition

This project serves as a foundation for integrating hand gesture controls into interactive applications like games, presentations, or robotic controls. It features: Real-time hand tracking with MediaPipe Hands and Live visualization of hand landmarks and gesture labels

mediapipe numpy opencv python

Last synced: 13 Apr 2026

https://github.com/kartikeya443/handgesture_vol_control

This OpenCV project enables remote control of sound playback using wireless communication. It lets users adjust the master volume of the central device using finger gestures, enhancing convenience and user experience.

mediapipe numpy opencv pycaw wireless-communication

Last synced: 13 Apr 2026

https://github.com/yoavram/numpycharm

Some examples on using PyCharm with Scientific Python

cython numpy pycharm python scientific-computing training-materials

Last synced: 11 Apr 2026

https://github.com/apfirebolt/numpy-and-pandas-examples

Some examples and sample datasets to learn numpy, pandas and other data science libraries in Python

data-analysis jupyter-notebook numpy pandas python

Last synced: 17 Apr 2026

https://github.com/erikbavenstrand/neural-network-implementation

An Artificial Neural Network Implementation in Numpy to work with MNIST dataset.

ai feedforward-neural-network machine-learning mnist neural-network numpy python

Last synced: 27 Apr 2026

https://github.com/chanmeng666/advanced-neural-network-applications

Practical implementations of perceptron and linear neuron models for classification and regression, with mathematical analysis and visualizations in Jupyter notebooks.

classification data-analysis data-science educational gradient-descent jupyter-notebook linear-neuron machine-learning matplotlib neural-network neural-networks numpy perceptron python regression

Last synced: 03 May 2026

https://github.com/project54321/stocksniper

"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker — all in a sleek, easy-to-use Streamlit interface."

alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit

Last synced: 11 Apr 2026

https://github.com/alexsolov28/ml_course

Курс "Технология машинного обучения"

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2025

https://github.com/arn4/labtools

Package with useful scripts for Physics Laboratory Courses

numpy python3 scipy uncertainties

Last synced: 05 Jan 2026

https://github.com/saliola/nonnegative_integer_matrices

code to generate and count nonnegative integer matrices with prescribe row and column sums (aka contingency tables)

cython cython-examples numpy numpy-examples python3

Last synced: 18 Apr 2026

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

This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow

lstm matplotlib numpy python sckiit-learn tensorflow yfinance

Last synced: 11 Apr 2026

https://github.com/debjyotisaha/web-application-projects

Web Applications developed with the help Python libraries and ML algorithms

algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit

Last synced: 13 Apr 2026

https://github.com/siddhi-c19/tourism_sid_tournaut

A comprehensive analysis of tourism data of various countries

data-science dataset mathplot mathplotlib numpy plotly statistics streamlit

Last synced: 06 May 2026

https://github.com/athul64/tmdb-dataset-analysis

This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.

data-visualization dataframe eda numpy pandas python

Last synced: 14 Apr 2026

https://github.com/prateekrajsrivastav/financial-transition-classification

This project focuses on classifying financial transactions using machine learning techniques. By leveraging labeled data, the model aims to categorize transactions into predefined categories (e.g., "Food," "Transport," "Shopping," etc.).

matplotlib numpy pandas-python scikitlearn-machine-learning seaborn

Last synced: 07 Sep 2025

https://github.com/murugavl/customer_churn_prediction

Customer churn prediction is a crucial task in business analytics, helping companies identify customers who are likely to leave and take preventive actions. This project utilizes Machine Learning (ML) techniques to analyze customer behavior and predict churn.

jupyter-notebook machine-learning matplotlib numpy pandas pickle python scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/kmkurn/text2array

Python library to convert text dataset into arrays.

deep-learning natural-language-processing neural-networks numpy

Last synced: 14 May 2026

https://github.com/ljadhav25/data-engineering-poc

This repository contains a beginner-level Data Engineering Proof of Concept (POC) project designed for practice. The objective is to provide hands-on experience with data engineering concepts, including data extraction, transformation, loading (ETL), and basic data analysis. This project is ideal for those looking to build foundational skills in da

data-analysis etl matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/cezlul/analyse-ventes-immobilier

Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.

data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn

Last synced: 13 Apr 2026

https://github.com/lexiortiz/ibm-data-engineering-fundamentals

Notes, exercises, and projects from the IBM Data Engineering Fundamentals path via Verizon Skill Forward.

data-engineering numpy pandas postegresql python sql

Last synced: 13 Apr 2026

https://github.com/l2nce/datamining-study

Introduction to data mining

data-analysis data-mining matplotlib numpy panda

Last synced: 28 Apr 2026

https://github.com/shreyasmehta05/sortsync

A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.

c matplotlib numpy python3

Last synced: 04 Feb 2026

https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing

Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit

hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test

Last synced: 11 Apr 2026

https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels

Este proyecto utiliza un modelo de regresión lineal para predecir el precio de vehículos basándose en sus características principales. El análisis incluye la definición del problema, exploración y limpieza de datos, conversión de variables categóricas a numéricas, evaluación de correlaciones y entrenamiento del modelo.

analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos

Last synced: 26 Apr 2026

https://github.com/erikbrinkman/hilbert-bytes

A python library for converting between d-dimensional points and indices on a hilbert curve

hilbert-curve numba numpy python

Last synced: 08 May 2025

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

This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.

keras matplotlib numpy pil python tensorflow

Last synced: 11 Apr 2026

https://github.com/oleksiilatypov/titanic_ml

Titanic Survival Prediction using ML and Flask Deployment.

data-science docker flask machine-learning numpy pandas skit-learn

Last synced: 13 Apr 2026

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 16 Apr 2026

https://github.com/ksprugevics/magic-square

Some simple algorithm implementations for solving (ordinary) magic squares using NumPy

algorithms mathematics numpy python

Last synced: 21 Apr 2026

https://github.com/fnfkkengine/website-performance-data-analysis-project

🌐 Analyze website performance data to gain insights on user engagement, traffic trends, and optimize your digital presence effectively.

analysis analytics dashboard data-analyst data-collection data-preprocessing data-visualization dax funnel-analysis jupyter-notebook matplotlib mysql numpy paid-search power-query project-management python storytelling

Last synced: 04 May 2026

https://github.com/keizerzilla/como-funciona-meshgrid

Apontamento breve explicando como a função meshgrid do Numpy funciona.

meshgrid numpy

Last synced: 28 Apr 2026

https://github.com/vasukalariya/neural-network-from-scratch

It's a simple Feedforward Neural Network implemented just using Numpy

artificial-neural-networks classification mnist neural-network numpy

Last synced: 28 Apr 2026

https://github.com/badranalyst/student-tests-data-analysis-application

Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.

data-analysis data-visualization dataset matplotlib numpy pandas python sklearn

Last synced: 05 May 2026

https://github.com/chandkund/predicting-diabetes-onset

The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.

deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization

Last synced: 13 Apr 2026

https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling

All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021

data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics

Last synced: 13 Apr 2026

https://github.com/winterwind/ecg_signal_classification

Two-part project that involves detecting the R-peaks in an ECG signal to extract the individual ECG beats and making a machine learning model to classify them

csv csv-files data-science decision-trees ecg ecg-classification ecg-signal jupyter jupyter-notebook knearest-neighbors knn machine-learning matplotlib matplotlib-pyplot numpy pandas pyplot python random-forest scipy

Last synced: 11 Apr 2026

https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.

analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations

Last synced: 09 May 2026

https://github.com/chintanboghara/rocket-simulation

A comprehensive web-based orbital mechanics simulator with advanced mission planning, real-time tracking, and educational features.

docker flask html javascript numpy plotly python

Last synced: 11 Apr 2026

https://github.com/aksoni07/movie-recommendation

A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.

clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions

Last synced: 11 Apr 2026

https://github.com/arthurdsant/dataanalysis-agricultural_raw_material

This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. Based on Jupiter Notebook and Python.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 26 Jan 2026

https://github.com/eesunmoon/aml_project

[Project] Analyzing Fitness Patterns & Building Predictive Models

matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/pinedah/sleep-data-analysis-exercise

Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).

data-analysis data-science escom numpy pandas python school-project scipy

Last synced: 13 Apr 2026

https://github.com/caterinatasinato/python-projects

Projects I worked on as Trainee in Data Analytics at ProfessionAI

matplotlib numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/evan-dg31/data-science

Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering

classification clustering data-analysis data-science data-visualization machine-learning matplotlib numpy pandas python regression-analysis seaborn

Last synced: 13 Apr 2026

https://github.com/joiceo/python

Projetos e exercícios em Python

eda machine-learning numpy pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/darshanpakhale250-gif/customer-churn-prediction-ml

A machine learning project to predict customer churn using regression and classification models including logistic regression, decision tree, and random forest. Performed EDA, visualizations, and model evaluation. The dataset is taken from Kaggle and implemented in Google Colab.

colab-notebook customer-churn-analysis data-science decision-trees kaggle logistic-regression machine ml numpy pandas python random-forest

Last synced: 13 Apr 2026

https://github.com/amanyadav-07/customer-churn-prediction

Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.

accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/kizman-23/supervised_models

Classical prediction of future data using models trained by labeled data

numpy pandas scikit-learn supervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/audy21/datacamp

Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.

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

Last synced: 11 Apr 2026

https://github.com/alphacrypto246/old-car-price-prediction

The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 09 Apr 2026

https://github.com/asier-ortiz/python-for-data-science-and-machine-learning-bootcamp

Python for Data Science and Machine Learning Bootcamp: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, TensorFlow, and more

matplotlib numpy pandas plotty python scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly

Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.

data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/eljandoubi/genre_classification

Create an ML pipeline for Genre Classification using MLflow.

hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb

Last synced: 11 Apr 2026

https://github.com/anujdutt9/language-model-using-rnn

Text Generation using basic RNN from scratch using Python and Numpy.

language-model numpy python rnn text-generation

Last synced: 08 May 2026

https://github.com/fearless-spider/spideroptic-cli

Spider Optic CLI is a command line application.

cement cli cli-app command-line makefile numpy oanda pypi python

Last synced: 01 May 2026

https://github.com/harmanveer-2546/eda-on-indian-railways

Indian Railways is a statutory body under the ownership of the Ministry of Railways of the Government of India that operates India's national railway system. As of 2023, it manages the fourth largest national railway system by size with a track length of 132,310 km, running track length of 106,493 km and route length of 68,584 km.

clean-data eda exploratory-data-analysis geometry geopandas indian-railways json linestring matplotlib numpy os pandas plotly python railway seaborn shapely train visualization

Last synced: 09 Apr 2026

https://github.com/harmanveer-2546/tweets-cleaning-with-python

Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.

filtering function-calling nlptk numpy os pandas punctuation python re removing-links tokenization tweet-cleaning twitter-data-analysis twitter-sentiment-analysis

Last synced: 10 Apr 2026

https://github.com/harmanveer-2546/prediction-of-ticket-cancellation

The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.

datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model

Last synced: 04 May 2026

https://github.com/ngangawairimu/data-validation-using-python

Agricultural dataset validated using python code for usage. Building a data pipeline that will ingest and clean data with the press of a button.

jupyter-notebook numpy pandas pytest python

Last synced: 13 Apr 2026

https://github.com/egorumaev/2024-ab-tests-metrics

Анализ соответствия размера выборки и плановых значений метрик A/B-теста

latex monte-carlo-method numpy pandas statmodels

Last synced: 04 May 2026

https://github.com/ronverse17/automate-data-cleaning

This project automates messy data cleaning tasks - like fixing column names, filling missing values, and spotting outliers, so analysts and data scientists can spend more time on insights, not preprocessing.

numpy pandas pipeline python

Last synced: 28 Apr 2026

https://github.com/varun-khorgade/salesense-e-commerce-analytics

Analyzed e-commerce datasets to discover customer behavior trends and business insights. Performed EDA, data cleaning, and visualizations to help stakeholders make data-driven decisions.

customer-behavior-analysis dashboards datacleaning exploratory-data-analysis feature-engineering jupyter-notebook matplotlib numpy pandas python seaborn sql time-series-trend visulaization

Last synced: 28 Apr 2026

https://github.com/charanpool/image-patch-mapping

A Python toolkit for image processing — edge detection, template matching, and patch detection using OpenCV

canny-edge-detector computer-vision edge-detection image-processing numpy opencv python sobel-filter template-matching

Last synced: 18 Jan 2026

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

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

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

Last synced: 08 May 2026

https://github.com/hadson0/chess-live-ratings-data

A study project focused on web scraping the live chess ratings from chess.com, with data analysis and visualization on nearly 5000 players in the classical world ranking.

beautifulsoup chess data-analysis data-visualization numpy pandas python seaborn web-scraping

Last synced: 28 Apr 2026

https://github.com/abideen-olawuwo/nyc-taxi

Prediction the duration of New York Taxi trip

linear-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/dwade-eng/amazon-product-recommender-prototype-

This project is a content-based product recommendation engine inspired by Amazon's "Customers who viewed this item also viewed" feature. It uses a dataset of product metadata and user interactions to suggest similar items based on product titles, brands, and categories using TF-IDF vectorization and cosine similarity.

html numpy pandas python3 scikit-learn

Last synced: 28 Apr 2026

https://github.com/harmanveer-2546/predicting-schizophrenia-disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization

Last synced: 13 Apr 2026

https://github.com/alex1iv/asr_ru_numbers

Automatic Speech Recognition (ASR) system for Russian digits

audio-processing librosa numpy speech-recognition tensorflow

Last synced: 13 Apr 2026

https://github.com/rajivaleaakash/customer-churn-prediction

A machine learning project focused on predicting customer churn using various data analysis and modeling techniques. The repository includes data preprocessing, feature engineering, exploratory data analysis (EDA), model training, evaluation, and visualization to help businesses identify customers at risk of leaving.

churn-prediction classification customer-churn data-analysis data-science gridsearchcv imblearn machine-learning numpy pandas pyhton randomsearchcv scikit-learn

Last synced: 28 Apr 2026

https://github.com/zvdy/movie_recommendation

Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets

data-science jupyter-notebook machine-learning numpy pandas python scikit-learn

Last synced: 13 Apr 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 52 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 37 🎲 Statistics & Probability 34 Videos 34 🚀 MLOps 31