Data

Tools

Indexes

Applications

Experiments

Awesome

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/khaymanii/wine-quality-prediction-model

This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 Apr 2026

https://github.com/ZauJulio/FeaturesAnalyzer

Python data analyze and machine learning tool

gtk machine-learning numpy pandas python sklearn

Last synced: 10 Aug 2025

https://github.com/dwarkadhish2005/house-price-predictor

Applied neural network for machine learning and done many analysis of data

keras matplotlib numpy pandas python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/affan-ch/gesture-talk-ai

GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.

numpy open-cv python

Last synced: 09 Apr 2026

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

Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.

math matplotlib-pyplot numpy pandas python3 sklearn

Last synced: 09 Apr 2026

https://github.com/amanpatel-1234/automatic_data_analyzer_app

📊 Automatic Data Analyzer is a Streamlit web app that performs complete data analysis with just a single file upload. Simply upload your CSV file, and the app automatically generates: Data Overview: Preview, summary statistics, and data types. Visual Analysis: Histograms, distribution plots, and interactive charts for numeric columns.

app data-science data-visualization matplotlib-pyplot numpy pandas python3 seaborn seaborn-plots streamlit

Last synced: 09 Apr 2026

https://github.com/prathameshdhande22/data-visualization-tutorial

Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial

data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial

Last synced: 09 Apr 2026

https://github.com/alexandrbig1/py-design-analysis-algo

Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.

algorithms asyncio git heapq matplotlib numpy python python3 turtle

Last synced: 09 Apr 2026

https://github.com/htlinh0604/invoice-data-extraction

This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..

flask numpy ocr-recognition opencv pandas python regex tesseract-ocr

Last synced: 10 Nov 2025

https://github.com/zazi2002/neuroscience-project-cnn

This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.

cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing

Last synced: 09 May 2026

https://github.com/mhmudfzli/exploring-mental-health-data

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost

Last synced: 09 Apr 2026

https://github.com/jswong65/machine_learning_nanodegree

Projects of Udacity Machine Learning nanodegree

machine-learning numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

https://github.com/sahajrajmalla/co2-calculator-api

A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.

apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn

Last synced: 09 Apr 2026

https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning

This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.

k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc

Last synced: 09 Apr 2026

https://github.com/upul/indi

Small Machine Learning library written in Python

algorithms machine-learning numpy python scipy

Last synced: 10 Apr 2026

https://github.com/dulajkavinda/live-sketching

✍️ Converting live video stream from webcam into a sketch using OpenVC and Keras

added image-filtering keras machinelearning matplotlib numpy opencv python

Last synced: 10 Apr 2026

https://github.com/thedevreda/python

My Full Backup Packagaes & Files Guide for Python 👷‍♂️

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/amari-calipso/papers-please-tasbot

A "Papers, Please" TASbot that offers a programmable interface with the game

cython game-bot games image-processing numpy papers-please papersplease python python3 tas tool-assisted-speedrun

Last synced: 13 Feb 2026

https://github.com/haidermalikk/neural-network-circuit-optimizer

The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*

ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow

Last synced: 10 Apr 2026

https://github.com/zensam7/easy_my_ai

Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля

genetic-algorithm library machine-learning neural-networks numpy q-learning

Last synced: 14 Feb 2026

https://github.com/octcarp-courses/sustech_cs303-ai_f23_works

(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.

numpy pytorch sustech

Last synced: 08 May 2026

https://github.com/yogeshnile/flight-delay-prediction

In this repo i developed predict a flight delay using machine learning.

flight-delay-prediction jupyter-notebook machine-learning numpy pandas python3 seaborn sklearn

Last synced: 13 Feb 2026

https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization

This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.

beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market

Last synced: 14 Apr 2026

https://github.com/Shriram-Vibhute/RealEstateForecast-Price-Prediction-System

This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.

exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn

Last synced: 02 Apr 2025

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/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/mattdelaune/saas_cohort_analysis

This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.

anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn

Last synced: 03 Jan 2026

https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data

About the data: Let’s consider a Company dataset with around 10 variables and 400 records.

data-science machine-learning numpy pandas python random-forest seaborn-plots

Last synced: 07 Apr 2026

https://github.com/huangcongqing/python-libraries

python库(numpy,pandas...)学习

matplotlib numpy pandas python3 xgboost

Last synced: 09 Mar 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/msthamizh/bizcardx-extracting-business-card-data-with-ocr

Developing a Streamlit application that enables users to upload business card images and extract key details using easyOCR. The app allows users to manage the extracted data (view, update, delete) and securely stores it in a MySQL database. It also highlights extracted text directly on the business card image using Pillow.

easyocr mysql numpy pandas pillow python regular-expression streamlit

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/lolosoares/dataanalises

This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.

acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba

Last synced: 10 Apr 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/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/dmarks84/coursework_coursework_project_automobile-sales-visualization

Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard

communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization

Last synced: 10 Apr 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/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/achalesh27022003/python-assignments-iwt

This repository is objected to have all the assignments and project related to IWT (Semester - 3).

cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window

Last synced: 10 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/kishlayjeet/zomato-data-exploration

In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.

data-analysis eda matplotlib numpy pandas zomato-data-exploration

Last synced: 10 Apr 2026

https://github.com/datarohit/titanic-survival-data--classification

This is a Titanic Survival Data from Kaggle Competition with Multiple Classification Algorithm testing and Detailed Exploratory Data Analysis.

classification-algorithm kaggle-competition machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/argemenon/astronomy_and_simulations

I created this repo to learn astronomy and python simulations

astronomy matplolib numpy physics-simulation scipy sympy

Last synced: 10 Apr 2026

https://github.com/walkerdustin/vergleich-von-messmethoden-fuer-punktwolken

Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewählte Punkte im Raum, zum Beispiel auf den Wänden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Geräten, soll hinterher herausgefunden werden wie genau diese Punktwolken übereinstimmen. Dafür gibt es zwei grundsätzlich verschiedene Methoden. Diese sollen hier verglichen werden.

3d-models accuracy-metrics data-analysis data-visualization kaggle measure-distance numpy point-cloud pointcloudprocessing punkte python science-research simulation statistics

Last synced: 11 Apr 2026

https://github.com/yessasvini23/deepfake_immunization_toolkit

🛡️ 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/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/macagua/entrenamiento.data_scientist_python

Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.

data-analytics data-scientist data-visualization numpy pandas-dataframe python37 streamlit

Last synced: 01 May 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/vitroid/tilecycles

Tessellate a graph into cycles.

genice2 graph numpy tiling

Last synced: 27 Feb 2025

https://github.com/haukzero/decisiontree-strat-from-scratch

依据西瓜书从零开始手写决策树分类器，只使用 pandas, numpy, graphviz 三个扩展包，其中 graphviz 用于将生成的树可视化

decision-tree-classifier machine-learning numpy python start-from-scratch

Last synced: 27 Apr 2026

https://github.com/ayaanjawaid/google_playstore_data_analysis

This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.

data-analysis eda html numpy pandas-dataframe plotly python vizualisation

Last synced: 24 Feb 2026

https://github.com/scorleos773/three-body-problem-simulator

Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭

differential-equations matplotlib mplot3d newtonian-mechanics numerical-integration numpy orbital-mechanics python runge-kutta-methods scipy-integrate three-body-problem three-body-simulation

Last synced: 02 May 2026

https://github.com/back2matching/turboquant-vectors

Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.

compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search

Last synced: 08 Jun 2026

https://github.com/akash-rajak/image-noise-remover

Python Script to remove noise from image.

cv2 image-noise-remover numpy os python3 random tkinter

Last synced: 28 Apr 2026

https://github.com/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 27 Feb 2025

https://github.com/rvats20/python-programming-basic

Python programing basic to develop robust python applications.

data-science eda learning learning-by-doing matplotlib-python numpy pandas python

Last synced: 02 May 2026

https://github.com/akash-rajak/large-image-preview

Python Script to view large image using scroll bars.

cv2 large-image large-image-preview numpy python3 tkinter

Last synced: 04 May 2026

https://github.com/corentin-mzr/pmi

Project Master IPSA : Modeling the transport of a chemical species in a fluid

1d 2d fluid-dynamics fluid-simulation matplotlib numpy physics physics-2d physics-simulation python stochastic-processes

Last synced: 07 Jun 2026

https://github.com/jsonfm/numpy-dart

A simple implementation of some features of the `numpy python` library brought `to dart`.

dart fft learning numpy signals

Last synced: 27 Apr 2026

https://github.com/khaymanii/titanic_survival_prediction_-model

This Model was built using Python and Logistic Regression algorithm

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 May 2026

https://github.com/code-taweezy/thermos-ai

An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP

ai case-study data-visualization lovable-ai machine-learning matpplotlib mvp numpy pandas project python sckiit-learn seaborn solution tensorflow

Last synced: 02 May 2026

https://github.com/prashver/titanic-survival-prediction

This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.

classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 May 2026

https://github.com/cchandre/quasiperiodic_frenkel-kontorova

Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media

dynamical-systems frenkel-kontorova hamiltonian numpy python3 scipy

Last synced: 02 May 2026

https://github.com/k-ibadullaev/py-ssa-lib

Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)

mssa numpy python singular-spectrum-analysis ssa time-series time-series-analysis time-series-forecasting

Last synced: 10 May 2026

https://github.com/mdaiyub/covid-19-detection

The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.

backend early-stopping global keras matplotlib modelcheckpoint numpy os pandas tensorflow

Last synced: 02 Apr 2026

https://github.com/italoseara/cet083

Medidas de Posição (ou separatrizes) - CET083

data-science matplotlib numpy pandas portuguese python statistics university

Last synced: 03 May 2026

https://github.com/akash-rajak/video-cropper

Script to crop video according user's size and dimension.

cv2 numpy python3 tkinter video video-cropper

Last synced: 27 Apr 2026

https://github.com/datarohit/opencv-document-scanner

This is a Document Scanner built using Python and OpenCV. It also has Image Saving Feature. You can adjust the thresholds to find the contours better.

numpy opencv opencv-python python

Last synced: 10 May 2026

https://github.com/nemeslaszlo/loan-data-decision-tree-and-random-forest

This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.

decesion-trees matplotlib numpy pandas random-forest seaborn sklearn

Last synced: 17 Apr 2026

https://github.com/pratishtha-abrol/principlecomponentanalysis

Principle Component Analysis with Numpy and Python

numpy principal-component-analysis python

Last synced: 03 May 2026

https://github.com/rixiiz/knn-model-to-predict-the-obp-of-mlb-players

A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning

Last synced: 01 Jul 2025

https://github.com/rkarahul/vehicle-number-plate-detection-and-ocr-reading-using-opencv-and-paddleocr

complated Vehicle Number Plate Detection and OCR Reading Using OpenCV and PaddleOCR

numpy opencv paddleocr paddlepaddle pandas python

Last synced: 12 Apr 2026

https://github.com/iv4n-ga6l/OpenPose-Prediction

Person's body parts or joint position detection using openCV

detection numpy opencv prediction prediction-model python

Last synced: 28 Apr 2025

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 11 Apr 2026

https://github.com/coqui123/tradegpt

TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. 💹

analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript

Last synced: 11 Apr 2026

https://github.com/samaid/game-of-life

Conway's Game of Life implemented using array libraries and JIT compilers for CPU and GPU

dpnp numba numba-dpex numpy opencv-python python

Last synced: 25 Apr 2026

https://github.com/pranav-bot/ml-dl-models-from-scratch

This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations

deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm

Last synced: 15 Apr 2026

https://github.com/nomadsdev/pulse-detect

PulseDetect is a Python tool that detects audio frequencies in real-time. It captures sound from the microphone and identifies the dominant frequency using pyaudio and numpy

numpy pulse-detect pyaudio python scipy

Last synced: 07 Jan 2026

https://github.com/gg7991/data-analysis-with-python-certification-freecodecamp

Challenges for DA with Python Certification on FreeCodeCamp

matplotlib matplotlib-pyplot numpy pandas

Last synced: 21 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