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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/mdaltamashalam/uber-fare-prediction-models

Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.

catboost data-analysis data-cleaning data-visualization lgbm-regressor machine-learning matplotlib numpy pandas python random-forest regression-models skit-learn xgboost-algorithm

Last synced: 26 Feb 2026

https://github.com/coueghlani/nlp

Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos

mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy

Last synced: 08 Feb 2026

https://github.com/smahala02/materials-science-introduction

Introduction to Materials Science concepts using Python for array manipulation and visualization with NumPy and Matplotlib.

data-visualization materials-science matplotlib numpy python scientific-computing

Last synced: 09 Feb 2026

https://github.com/ryancswallace/npdb

Parallel NumPy-like interface for large n-dimensional arrays on disk.

mapreduce-designpatterns numpy numpy-arrays parallel-computing python

Last synced: 09 Feb 2026

https://github.com/mahmud-kandawala/simulating-covid-19-python-

This repository contains a Python program that simulates the spread of COVID-19 using Numpy and Matplotlib for calculations and visualization. The simulation offers an interactive way to understand virus dynamics and the impact of epidemiological parameters.

matplotlib numpy python

Last synced: 16 Apr 2026

https://github.com/mariam-zaidi/bike-sharing-prediction-model

Build a multiple linear regression model for the prediction of demand for shared bikes.

linear-regression matplotlib numpy pandas rfe seaborn sklearn

Last synced: 09 Feb 2026

https://github.com/harmanveer-2546/statistics-for-machine-learning

Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.

inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics

Last synced: 18 Apr 2026

https://github.com/foggysmile/ml_labs_itmo

Лабораторные работы по машинному обучению

bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost

Last synced: 11 Feb 2026

https://github.com/khinthandarkyaw98/python_for_engineers

This particular Python notebook is designed to provide Engineers with an opportunity to practice scientific computations.

engineering numpy python scientific-computing youtube

Last synced: 16 Apr 2026

https://github.com/cherukuri-thanu/conjoint-analysis-netflix

This repository contains configuration files for performing conjoint analysis on Netflix survey data.

conjoint-analysis logistic-regression matplotlib-pyplot netflix numpy pandas squantify statsmodels

Last synced: 16 Apr 2026

https://github.com/karthikarajagopal44/numpy-beginner-to-advanced

This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.

data-science numpy numpy-library numpy-tutorial python

Last synced: 16 Apr 2026

https://github.com/hansalemaos/np_asciiart

Ascii art with numpy

ascii numpy opencv python

Last synced: 16 Apr 2026

https://github.com/ywatanabe1989/scitex-io

Universal scientific data I/O with plugin registry — save/load 30+ formats with one API. Part of SciTeX.

cli csv data-io hdf5 mcp numpy openscience pandas plugin-registry python research scientific-computing scitex

Last synced: 07 Jun 2026

https://github.com/shakhthi/mlproject

This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.

jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/ankit21111/carpredict

This project predicts car prices using machine learning models, including Simple and Multiple Linear Regression. It covers data acquisition, feature selection, and optimization techniques like Ridge Regression. The best model, Multiple Linear Regression, achieved an R² score of 0.84. Check out the full analysis in the repository!

data-analysis data-visualization matplotlib numpy pandas pyhton scipy seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/rahulsm20/storedata

A data analysis project aimed at analyzing the sales data of the super store and providing useful insight into customer preferences.

data-analysis matplotlib numpy pandas python streamlit

Last synced: 16 Apr 2026

https://github.com/dpgitaccount/project---hospital-readmission-analysis

The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.

boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization

Last synced: 16 Apr 2026

https://github.com/separatrixxx/nm_labs_6_7_sem

👓 Laboratory work for 6 and 7 semesters of MAI on numerical methods

numerical-methods numpy python

Last synced: 16 Apr 2026

https://github.com/islamshahil/neuralnetworks

Hello World to Neural Network.

deeplearning neural-network numpy python

Last synced: 16 Apr 2026

https://github.com/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib

Sistema completo de análisis y visualización de datos cinematográficos que proporciona insights detallados sobre películas, incluyendo análisis financiero, puntuaciones, tendencias temporales y un sistema de recomendación. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de películas.

matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit

Last synced: 16 Apr 2026

https://github.com/andreashovaldt/simple-neural-network

A simple neural network, created with numpy, based on Stochastic Gradient Descent, used for classifying the MNIST dataset

mnist-classification neural-network numpy stochastic-gradient-descent

Last synced: 16 Apr 2026

https://github.com/codersales/machine-learning-classification

machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent

authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation

Last synced: 07 Mar 2026

https://github.com/saurabh274/netflix-eda

Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries.

matplotlib numpy pandas python seaborn

Last synced: 28 Feb 2026

https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model

This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.

correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization

Last synced: 15 Feb 2026

https://github.com/type0-1/salary-truth-predictor

A supervised machine learning regression model. Includes problem statement, approach to solution, code, images, dataset, and Jupyter Notebook for interactive analysis.

linear-regression machine-learning matplotlib-pyplot ml numpy pandas polynomial-regression projects scikitlearn-machine-learning support-vector-regression

Last synced: 16 Apr 2026

https://github.com/sasanka14/water_quality_predictions

Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀

anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/lorenzorottigni/ml-advertising

Machine Learning python bootcamp: logistic regression on advertising dataset

ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/pramodyasahan/health-insurance-cost-prediction

This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc

machine-learning matplotlib numpy pandas python3 scikit-learn

Last synced: 16 Apr 2026

https://github.com/5hraddha/sda-megaline-the-best-plan

Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.

data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis

Last synced: 16 Apr 2026

https://github.com/thiti-dev/attendance-management-system

A quick casual project just only for a demonstration in the discrete mathematics course

numpy opencv pandas pillow tkinter

Last synced: 16 Apr 2026

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

This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.

backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training

Last synced: 16 Apr 2026

https://github.com/ejw-data/tableau-songs

Brief analysis of songs from 1890 - 2015 using pandas and Tableau

numpy pandas python songs tableau

Last synced: 16 Apr 2026

https://github.com/bzubs/mlzero

Implementation of widely used ML algorithms in vanilla python

machine-learning machine-learning-algorithms machinelearning numpy python statistics

Last synced: 03 Mar 2026

https://github.com/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 16 Apr 2026

https://github.com/shiqilu77/machinlearning-lol_gaming

a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc

league-of-legends machine-learning numpy supervised-learning

Last synced: 16 Apr 2026

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 01 Apr 2026

https://github.com/leftcoastnerdgirl/supervised_learning

This project demonstrates supervised machine learning using scikit-learn.

classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn

Last synced: 16 Apr 2026

https://github.com/marcow2812/zuse-projekt

Python-basierte Software zur Projektion von 3D-Objekten auf einen Würfel

augmented-reality numpy opencv-contrib python

Last synced: 16 Apr 2026

https://github.com/kganitis/bam-engine

High-performance Python implementation of the macroeconomic agent-based BAM model using ECS architecture

agent-based-modeling computational-economics macroeconomics numpy python

Last synced: 04 Mar 2026

https://github.com/bishopce16/school_district_analysis

The school board requested an analysis on the various performance metrics for the school district.

data-analysis jupyter-notebook numpy pandas python visual-studio-code

Last synced: 16 Apr 2026

https://github.com/jay6430/python-for-data-science

This Repository includes all the Python concepts that are necessary for Data science.

csv data-visualization datascience-machinelearning html-css ipynb-jupyter-notebook matplotlib numpy pandas python3 xml

Last synced: 04 Mar 2026

https://github.com/sundanc/besthousefinder

A Streamlit web application that helps users find the best house based on their preferences.

numpy pandas prediction python streamlit

Last synced: 17 Apr 2026

https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting

An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.

forcasting machine-learning numpy pandas scikit-learn time-series-analysis

Last synced: 17 Apr 2026

https://github.com/gautam-cs/data_science

In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data

aadhar-data csv data-science json numpy olympics-data pandas python35

Last synced: 17 Apr 2026

https://github.com/syedzaheerabbas/risk-analytics-with-python

This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

eda hypothesis-testing numpy pandas python risk-analysis seaborn

Last synced: 17 Apr 2026

https://github.com/shashwat9kumar/us-accidents-data-analysis

Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle

accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python

Last synced: 17 Apr 2026

https://github.com/yanxue06/housing-price-predictor

Python-based California housing price predictor

jupyter numpy pandas python seaborn

Last synced: 06 Mar 2026

https://github.com/gauravtrivedi967/lane_detection

Lane detection and tracking are the advanced key features of the advanced driver assistance system. Lane detection is the process of detecting white lines on the roads. In this we I have used prebuild models for the development of the code

ipython-notebook numpy python thresholding

Last synced: 06 Mar 2026

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/nathadriele/ifood-data-governance-pipeline

Este projeto demonstra uma solução completa de Data Governance com foco em qualidade, rastreabilidade, segurança e conformidade com LGPD. Utiliza tecnologias modernas como Streamlit, Airflow, dbt e Pydantic para implementar um ecossistema funcional e interativo com dashboard de governança de dados.

airflow dashboard data-analysis data-catalog data-engineering data-governance data-quality data-visualization dbt ifood lgpd matplotlib numpy observability-data pandas pipeline pyspark redis seaborn streamlit

Last synced: 02 Apr 2026

https://github.com/iamwatchdogs/cardiovascular-risk-prediction

This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.

jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/broodhoney/blue-book-for-bulldozers

This repository holds the project which solves a regression problem on predicting the futures sales of bulldozers. This is from a kaggle competition.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

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

Last synced: 02 Apr 2026

https://github.com/offthetab/ml_homework

Практические работы по анализу данных МИРЭА 3 курс.

ml numpy pandas python shap sklearn xgboost

Last synced: 02 Apr 2026

https://github.com/pranavv34/customer-segmentation

Predictive modeling and customer segmentation project using neural networks to forecast sales and categorize customers for targeted marketing in the online retail sector.

keras matplotlib numpy pandas python seaborn sklearn tensorflow

Last synced: 02 Apr 2026

https://github.com/mac2bua/autoalgo

Autonomous algorithm optimization research - 19x speedup achieved through self-driven iterations

algorithm-optimization autoresearch numpy performance python

Last synced: 02 Apr 2026

https://github.com/prajapatsur/data-analytics-1

Wanted to revise all the basic concepts of the data cleaning, transformation and analysis, so worked on this project. Took a little bit help of AI tool to implement some fresh concepts.

matplotlib numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/mnagaharshithrao/diamondpriceprediction

Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions

machine-learning numpy pandas sckiit-learn xgboost

Last synced: 17 Apr 2026

https://github.com/renan-siqueira/reinforcement-learning-cart-pole

This repository provides implementations of a Q-learning agent to balance a pole on a cart.

artificial-intelligence gym-environment machine-learning numpy openai-gym pygame python qlearning-algorithm reinforcement-learning

Last synced: 17 Apr 2026

https://github.com/orliluq/inmersion-datos-python

Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).

colab-notebook numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis

Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.

forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed

Last synced: 02 Apr 2026

https://github.com/lmizner/codecademy_nba_trends

Investigate whether there is an association between two variables

chi2-contingency jupyter-notebook matplotlib numpy pandas pearson-correlation pyplot python seaborn

Last synced: 17 Apr 2026

https://github.com/nikhilsree5/aerofitcasestudy

Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach

customerprofile eda numpy pandas python visualization

Last synced: 17 Apr 2026

https://github.com/theakashshukla/diabetes-prediction

Diabetes Prediction using futuristic tool

ai jupiter-notebook ml numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/khushi130404/binning-binarization

This project demonstrates binning and binarization on the Titanic dataset, comparing results with and without numeric encoding. Visualizations highlight the transformations and their impact on survival analysis.

binarization binarizer binning columntransformer decision-trees matplotlib numpy pandas

Last synced: 17 Apr 2026

https://github.com/hansalemaos/npfastsortcpp

Sorts int/float 4x faster than numpy by using parallel_sort from C++ (Windows only)

cpp fast numpy python sort

Last synced: 17 Apr 2026

https://github.com/prahaladhchandrahasan/object-localization

this is a blue colour detector in keras and tensorflow

computer-vision keras numpy pkl tensorflow

Last synced: 17 Apr 2026

https://github.com/quinnphil/math-for-programmers

Work-alone code for Math for Programmers book by Paul Orland

geometry mathematics matplotlib numpy python

Last synced: 17 Apr 2026

https://github.com/smartpottech/smartpot-datagenerator

SmartPot-DataGenerator simulates environmental and plant data (temperature, humidity, luminosity, pH, TDS, soil moisture) for hydroponic garden management. This data is used for testing, analysis, and visualization in the SmartPot web portal, helping optimize plant care without actual hardware sensors.

data-model matplotlib numpy python simulated

Last synced: 17 Apr 2026

https://github.com/shhiivvaam/regression

Linear Regression Model

linear-regression numpy python

Last synced: 10 May 2026

https://github.com/mugambi645/classify-song-genre-from-audio-data

Classify song genres using supervised learning models & PCA for dimensiality reduction

decision-tree-classifier logistic-regression numpy pandas pca-analysis

Last synced: 17 Apr 2026

https://github.com/rosieoh/emergency_dataanalysis

오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석

ipython matplotlib numpy pandas python scikit-learn scipy

Last synced: 04 Apr 2026

https://github.com/neetigyab/pdf_form_parser

Older Test version of designated PDFReader project

excel forms matplotlib numpy ocr opencv pandas pdf pdf-converter pdfplumber pytesseract python

Last synced: 17 Apr 2026

https://github.com/noluyorabi/bravais-pearson-interactive

Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.

data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit

Last synced: 17 Apr 2026

https://github.com/anag0es/projetos-ml

Este é um lugar onde guardo vários projetos para entender como funciona a aprendizagem de máquina. Cada projeto é uma forma de praticar o que estou aprendendo nos meus estudos.

artificial-intelligence crisp-dm data-science deep-learning learning machine-learning neural-network numpy pandas prediction-model python

Last synced: 17 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 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 36 Videos 34 🎲 Statistics & Probability 34 Web 33