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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/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/amanimagdi/data-flux-fullstack

This repository is for a full stack application provides in-depth analysis and manipulation of various data types (tabular data, RGB images and textual data), Flask on BE and ReactJs on FE.

flask javascript numpy pandas python reactjs tailwindcss

Last synced: 02 Apr 2026

https://github.com/amiriiw/text_classification

Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.

keras numpy pandas pickle scikit-learn tensorflow text-classification

Last synced: 20 Jan 2026

https://github.com/davityak03/basics-of-python-

In this we have done multiple programs in python so as to develop the basic skill sets in python

array dictionary lists matrix numpy pandas programming python sets

Last synced: 02 Apr 2026

https://github.com/amnydv17/landmark-detection

This project aims to leverage the power of deep learning models to automatically detect and pinpoint landmarks such as famous monuments, buildings, natural landmarks, and other recognizable structures within images.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/loong64/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

autograd deep-learning gpu loong64 loongarch64 machine-learning neural-network numpy python tensor

Last synced: 02 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/rakibhhridoy/differentprojects

Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!

data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics

Last synced: 11 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/harmanveer2546/nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

eda matplotlib numpy pandas python seaborn visualization xbgoost

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/pavanreddy565/infosys_python_for_datascience

Data Science Course Tasks Repository This repository contains tasks and projects completed during the Data Science course from Infosys Springboard. It includes setup instructions for running Jupyter Notebook sessions in a virtual environment.

matplotlib numpy pandas

Last synced: 29 Apr 2026

https://github.com/minjii1079/pytune

Building PyTune, a Python guitar tuner that uses PyAudio for recording, NumPy for math operations, and SciPy for FFT (Fast Fourier Transform) and signal processing.

fft guitar-tuner music numpy pyaudio python3 scipy

Last synced: 07 May 2026

https://github.com/arnie1x/massive-dataset-lab

This project involves basic data manipulation with JSON files, focusing on tasks related to data processing of the MASSive dataset and file management.

data-science numpy pandas pandas-dataframe python3

Last synced: 07 May 2026

https://github.com/ffatahillah7/eda-dsf-dibimbing-titanic-accident

Data Science Fair 3.0 Dibimbing Portofolio - Analyctics and Learning from titanic dataset

data numpy pandas python science seaborn

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/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/anshpg/vectorwave

The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.

collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn

Last synced: 11 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/mnitin-reddy/content-based-recommendation-system-using-deep-learning

A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.

deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow

Last synced: 03 Apr 2026

https://github.com/jjwizardmp/a-start-search-python

Python project where the 'A Start Search' algorithm and a simulation of the agent's path with animations were implemented.

cv2 ipython iterto jupyter-lab jupyter-notebook mathplotlib numpy pip python python-env python3

Last synced: 04 Apr 2026

https://github.com/prajakta1321/exoplanet-atmospheric-characterization-1

A machine learning project to classify exoplanets using light curve image data. Developed as part of the ML4SCI GSoC 2025 Test Task. Includes data processing, CNN-based model, and full report.

classification colab-notebook dbscan gsoc-2025 machine-learning-algorithms matplotlib-python ml numpy open-source pca-analysis python3 seaborn

Last synced: 07 May 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

https://github.com/mwoss/mownit

Various tasks from numerical analysis laboratories solved using Python

jupyter-notebook mathematics matplotlib numerical-analysis numpy python scipy

Last synced: 17 Apr 2026

https://github.com/louisblankemeier/numpytex

Latex script generator that generates an aesthetically appealing table using a numpy array.

latex numpy script-generator table

Last synced: 07 May 2026

https://github.com/jinhx128/data_analysis

基于Matplotlib+Numpy+Pandas搭建的数据分析项目。

matpolotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/linsanity03/football_prediction

ML project to predict goal from football events such as penalty, free kick.

jupyter-notebook numpy pandas pyspark python3 tensorflow

Last synced: 11 Apr 2026

https://github.com/yassin522/music-genre-classification

This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres

catboost matplotlib numpy pandas python sklearn

Last synced: 04 Apr 2026

https://github.com/jass024/bitcoin-historical-analysis

Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.

numpy pandas python-3

Last synced: 18 Apr 2026

https://github.com/awanraskall/retail-demand-analysis

Data analysis of retail meal orders, fulfillment centers, and product demand using Python

data-analysis data-visualization jupyter-notebook numpy pandas python

Last synced: 18 Apr 2026

https://github.com/ansh-info/industrial-scale-penicillin-simulation

Optimizing industrial-scale penicillin production using machine learning and data analysis.

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

Last synced: 11 Apr 2026

https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql

Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!

data-analysis data-science deepnote machine-learning numpy pandas python sql

Last synced: 18 Apr 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/abdul-rafay19/california-housing-price-prediction

This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.

decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/adamouization/python-machine-learning-data-science-notes

:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.

data data-science data-visualization guide jupyter jupyter-notebook machine-learning matplotlib notes numpy pandas pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/anubagre/predicting-price-of-pre-owned-cars

This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.

data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/yasinefeee/parkspotter_pretest_enviroment

The ParkSpotter project is designed to detect the occupancy status of parking spots in a simulation environment. Using a toy model, a camera system, and a machine learning model, this system identifies whether a parking space is EMPTY or NOT EMPTY in real-time.

ai-systems classifier computer-vision cv2 numpy opencv parking-spot-detection parking-spots python sckit-image sckit-learn simulation-environment svm svm-classifier

Last synced: 18 Apr 2026

https://github.com/jsnevt/regressao_linear

Regressão linear simples - Qual a velocidade se levou x distância para parar ?

linear-regression matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap

Last synced: 18 Apr 2026

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 05 Apr 2026

https://github.com/Gregoritsch3/Exercise_Pandas_1

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,

data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy

Last synced: 01 May 2025

https://github.com/murugavl/flower-prediction

Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.

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

Last synced: 05 Apr 2026

https://github.com/stffns/snapvec

Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.

ann embeddings hadamard numpy quantization rag vector-search

Last synced: 07 Apr 2026

https://github.com/jminjares4/selected-areas-in-networks

Assignments for Selected Areas in Networks (EE 5390)

matplotlib network-analysis numpy pandas python

Last synced: 08 May 2026

https://github.com/ayushmaan-xd/exploratory-spotify-data-analysis

Exploratory Spotify Data Analysis is a project where I analyzed Spotify’s music dataset to uncover trends in audio features and song popularity. Using Python and data visualization tools

jupyter-notebook matplotlib numpy pandas python seaborn spotify-dataset

Last synced: 18 Apr 2026

https://github.com/jbalooshie/movies-etl

Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.

data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy

Last synced: 11 Apr 2026

https://github.com/jigyasag18/iit-guhawati-final-capstone-project

Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.

bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit

Last synced: 05 Apr 2026

https://github.com/ben854719/nvidia---gen-ai-

The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia

matplotlib numpy pandas python pytorch

Last synced: 05 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_04

Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація

lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn

Last synced: 05 Apr 2026

https://github.com/nowon1/insurance-claim-prediction_version

This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.

data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn

Last synced: 05 Apr 2026

https://github.com/andres15alvarez/numericalcalculator

Calculator of roots of equations and system of linear algebraic equations.

numerical-methods numpy python scipy

Last synced: 05 Apr 2026

https://github.com/broodhoney/titanic-ml-from-disaster

This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data

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

Last synced: 11 Apr 2026

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

Machine Learning python bootcamp: Recommender Systems on movies dataset

ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/azaz9026/python_library_numpy

NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...

array jupyter-notebooks numpy python3

Last synced: 08 May 2026

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

O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos

keras numpy pandas plotly python restnet50 sklearn tensorflow

Last synced: 05 Apr 2026

https://github.com/al-ghaly/prosper-loans-analysis

A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)

data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics

Last synced: 18 Apr 2026

https://github.com/faraazarsath/guvi-task-4

This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. The tasks include categorizing students based on their CodeKata scores.

data-visualization matplotlib numpy pandas

Last synced: 18 Apr 2026

https://github.com/ahmaruff/kmeans-img-compress

Simple python image compression library using K-Means clustering

color-quantization image-compression image-processing kmeans kmeans-clustering numpy python

Last synced: 18 Apr 2026

https://github.com/rahuls-1106/dataspark

DataSpark is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.

data-visualization jupyter-notebook matplotlib numpy pandas-dataframe powerbi python seaborn sql

Last synced: 18 Apr 2026

https://github.com/znreza/paradoxes

Q-learning algorithm from scratch in python for optimal path finding

grid grid-search matrix numpy python qlearning-algorithm reinforcement-learning

Last synced: 18 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 35 Videos 34 🎲 Statistics & Probability 34 Web 33