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/2kabhishek/ml-primer

Basic Machine Learning & Data Science in Python/ 📈🐍

jupyter-notebook machine-learning matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/omarsaad21/shopping-cart-eda

An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)

eda jupyter-notebook numpy pandas plotly python

Last synced: 13 Apr 2026

https://github.com/faisal-khann/python-practice

This is the section for python practice, where we engage in programming exercises to improve our Python skill.

numpy numpy-arrays pandas python

Last synced: 10 May 2026

https://github.com/trissim/polystore

Framework-agnostic multi-backend storage abstraction for ML and scientific computing

backend data io jax ml multi-framework numpy pytorch scientific-computing storage tensorflow zarr

Last synced: 12 Apr 2026

https://github.com/sgb31/csv-retrival-based-rag

Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.

generative-ai llm numpy pandas pydantic python3 sentence-transformers sklearn streamlit transformers

Last synced: 19 Jun 2026

https://github.com/vviveksharma/barcodescanner

The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red

numpy opencv python3

Last synced: 10 May 2026

https://github.com/kaguya163/marketing_campaigns

Анализ маркетинговой эффективности в спортивном ритейле.

ab-testing machine-learning matplotlib numpy pandas python scikit-learn scipy sqlite3

Last synced: 11 Apr 2026

https://github.com/azaz9026/machine_learning_algorithms

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library

Last synced: 12 Apr 2026

https://github.com/moustafamohamed01/car-price-prediction

Car Price Prediction using Linear Regression A machine learning model that predicts car prices based on features like name, company, year, kilometers driven, and fuel type. Built with Linear Regression and deployed as a Streamlit web app.

data-science jupyter-notebook linear-regression machine-learning numpy pandas python sickit-learn sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/anupreet02/deep-learning-challenge

The objective of this analysis is to develop a deep learning model capable of predicting whether a charity funded by Alphabet Soup is likely to be successful. The model is built using the charity dataset, which contains various features related to each charity, and is used to classify charities as successful or not based on these features.

numpy pandas sckit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/junaidsumsaal/advanceparkingsystem

Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.

axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript

Last synced: 11 Apr 2026

https://github.com/jagroop2001/learning-numpy

Learning NumPy complete the exercise

numpy pandas python

Last synced: 16 May 2025

https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap

Last synced: 11 Apr 2026

https://github.com/1adityakadam/computer-vision-approach-for-quality-inspection-of-steel-sheets

Machine Learning and Computer Vision project improves steel defect inspection using computer vision. A segmentation technique partitions steel sheet images into regions, enabling better defect analysis. U-Net is used for segmentation, and MobileNetV2 for classification. Performance is evaluated with the Dice Coefficient.

computer-vision machine-learning numpy pandas unet-image-segmentation

Last synced: 10 May 2026

https://github.com/batthulavinay/which-anime-dominates-the-world

This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.

data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 24 Mar 2025

https://github.com/testetson22/abelian_sandpiles

Simple App that implements, builds and tests an approximation of the Abelian sandpile model

github-actions numpy pytest

Last synced: 12 Apr 2026

https://github.com/nirmaldeepponnada/codeclauseinternshipproject1

This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.

kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer

Last synced: 11 Apr 2026

https://github.com/nambukeerthi/youtube_dataproject

Build a Streamlit App – A user-friendly interface. Use Google API – Fetch YouTube channel data. Store in SQL Database – Save channel details for easy access. Search & Join Tables – Allow users to query and view data

api numpy pandas python sql streamlit

Last synced: 09 Apr 2026

https://github.com/murugavl/loan_approval_prediction

This project is a Loan Approval Prediction System that uses Machine Learning to determine whether a loan application should be approved or rejected based on various factors. It is deployed using Streamlit for an interactive user experience.

jupyter-notebook machine-learning numpy pandas python random-forest-classifier scikit-learn stremlit

Last synced: 13 Apr 2026

https://github.com/gustavo-venceslau/housing-price

A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron

conda machine-learning matplotlib numpy pandas python sklearn

Last synced: 13 Apr 2026

https://github.com/bachboy0/montecarlo

Python-based Monte Carlo simulations for statistical analysis and modeling.

monte-carlo-methods numpy python

Last synced: 21 Apr 2026

https://github.com/companyakis/numpy

Python Numpy

data-science numpy python

Last synced: 04 Sep 2025

https://github.com/zhanziyuan/pixelpuzzle-web

Encode/decode images using Base64 or shuffle/recover the pixels of images.

anime encryption image image-processing numpy python

Last synced: 11 Apr 2026

https://github.com/karanyeole/movie-rating-analysis

analyzing movie ratings from various sources to gain insights into audience preferences, trends, and patterns in movie ratings. The project utilizes data analysis and visualization techniques to explore and interpret movie rating data, providing valuable information for movie enthusiasts, filmmakers, and industry professionals.

matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/preethiphilip/prosper-loan-data-analysis

This project explores the Prosper loan dataset to uncover trends, borrower behaviors, and factors influencing loan performance. Using Python and data visualization techniques, the analysis examines key variables such as credit scores, loan status, income ranges, and debt-to-income ratios to gain insights into credit risk and lending patterns.

jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 13 Apr 2026

https://github.com/miss-mhv/udacityproject_dataviz

Data analysis of a bicycle rental system. The goal is to understand how trips are made according to age, time of year, day of the week, time of day

jupyter-notebook matplotlib numpy pandas python3 seaborn-plots

Last synced: 13 Apr 2026

https://github.com/vasu7052/recognizing-handwritten-digits

This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.

machine-learning machine-learning-algorithms numpy python scikit-learn

Last synced: 13 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/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/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/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/ivancaez/analisis_dades_microbit

Data analysis of Micro:bit with maplotlib, numpy and pandas

csv jupyter-notebook matplotlib microbit numpy pandas python

Last synced: 13 Apr 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/vyjayanthipolapragada/fraud_detection_creditcard

Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML

classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model

Last synced: 11 Apr 2026

https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office

Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.

data-analysis data-science data-visualization loop loops matplotlib matplotlib-pyplot netflix numpy office pandas python

Last synced: 11 Apr 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/joiceo/python

Projetos e exercícios em Python

eda machine-learning numpy pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/raghavendranhp/youtube_data_harvesting

The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions

apiintegration data datacollection eda googleapi googleapiclient matplotlib mongodb mysql mysqlconnector numpy oops pandas pymongo python pythonoops sql sqlalchemy streamlit youtube-api

Last synced: 13 Apr 2026

https://github.com/blairnangle/python3-numpy-ta-lib

Docker image with NumPy and TA-Lib installed. Built and uploaded to Docker Hub using GitHub Actions.

docker numpy python3 ta-lib

Last synced: 13 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/somyaaaaaa2004/travelling-sales-man-problem

This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial

genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem

Last synced: 06 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/thaisgarcia/convert-censo-file

Este repositório contém scripts Python para processar dados destinados ao censo do MEC, incluindo a leitura de um arquivo TXT, a geração de um arquivo Excel e a conversão desse arquivo Excel de volta para um formato de texto.

numpy pandas python

Last synced: 11 Apr 2026

https://github.com/hootbu/cyberpunk-filter-desing

This project aims to design filters with a cyberpunk aesthetic by performing low-level image manipulation in Python.

computer-vision image-manipulation matplotlib numpy python

Last synced: 08 May 2026

https://github.com/csengupta1101/rock-paper-scissor-game

Rock Paper Scissor game built with Python 3. Jupyter notebook used as IDE. Code File , Read Me attached herewith.

game if-else-statements numpy python python3 random

Last synced: 11 May 2026

https://github.com/iaroslavbelavskii/statkemapp

Here's the code for my 'StatKemApp' app, that can be used to calculate statistics for the experimental laboratory data (e.g. titration). Feel free to use it and report any bugs!

chemical-engineering chemistry matplotlib-pyplot numpy pandas python scipy

Last synced: 11 Apr 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/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/prowilliam/maze_generator

A maze generator is created where you can modify its dimensions and shows a red route where it describes the solution of the maze, and it is exported in png format

numpy pillow python

Last synced: 28 Apr 2026

https://github.com/akansharajput280799/covid19-impact-analysis-usa

Data Analysis and Predictive Modeling to study COVID-19 impact across age groups, regions, and seasons in the USA.

classification-algorithm clustering-algorithm data-preprocessing data-visualization descriptive-statistics exploratory-data-analysis matplotlib numpy pandas seaborn

Last synced: 13 Apr 2026

https://github.com/alepm1990/nba-analytics

Análisis y trabajos en Python con BBDD deportivas

matplotlib-pyplot numpy pandas pyhon python3 seaborn

Last synced: 05 May 2026

https://github.com/nur-alam39/course-lab-experiments

The lab works: Code of academic courses-Digital Image Processing, Microprocessor, OOP, Numerical Analysis

cpp lab lex matplotlib numpy oop opencv python

Last synced: 13 Apr 2026

https://github.com/jessicahora/series_temporais

Análise de Series Temporais do Consumo de Energia da Alemanha.

numpy pandas python time-series-analysis

Last synced: 07 Apr 2026

https://github.com/vishal815/python-based-flight-data-scraping-automating-data-collection-for-analysis

This project is a Python-based web scraping script designed to extract flight details from the Yatra travel website. The extracted data includes flight pricing, origin, destination, departure and arrival times, and duration. The data is then saved into a CSV file for further analysis.

beautifulsoup flight-data-analysis flight-data-visualization numpy pandas pyhton pyplot scraping scraping-python seaborn selenium vishal-lazrus vishallazrus webscraping webscraping-projects

Last synced: 18 Apr 2026

https://github.com/kecnry/nparray

High-Level Wrappers for Building and Manipulating Numpy Arrays

numpy numpy-arrays python

Last synced: 08 Jan 2026

https://github.com/subhas-pramanik-09/car-detection-and-counting

This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.

machine-learning numpy object-detection opencv

Last synced: 13 Apr 2026

https://github.com/pranavsuriya-sr/e-hub_energysystems

Python based Web Application for analysis and visualization of concepts in Energy Systems.

css energy-systems-analysis html javascript matplotlib numpy python schemdraw streamlit

Last synced: 11 Apr 2026

https://github.com/tnleite/loan-approval-prediction

Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.

classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier

Last synced: 13 Apr 2026

https://github.com/dawoudtormos/rain_predicition_ml

This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.

ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn

Last synced: 10 May 2026

https://github.com/harmanveer-2546/credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg

Last synced: 13 Apr 2026

https://github.com/n1k1f0rm/ml-predicts

Place where you can find in transparent way how ML algos works

machine-learning ml numpy python

Last synced: 21 Apr 2026

https://github.com/ifte-13/early-stage-brain-stroke-detection

Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm

decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/harmanveer2546/recognizing-digits

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.

dense flatten gui keras maxpooling mnist numpy pandas pillow python sequential

Last synced: 13 Apr 2026

https://github.com/iv4n-ga6l/Simple-Image-Segmentation

Simple implementation of image segmentation using the Watershed algorithm

imagesegmentation matplotlib numpy opencv python watershed-algorithm

Last synced: 28 Apr 2025

https://github.com/dummumounika/ecommerce-sales-categorization

This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.

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

Last synced: 13 Apr 2026

https://github.com/eny2930/ai-ml-projects

A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.

iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis

Last synced: 13 Apr 2026

https://github.com/pramodyasahan/spaceship-titanic

This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.

machine-learning numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif

Last synced: 09 May 2026

https://github.com/bropenguin847/python-learning

Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.

array-manipulations convolution jupyter matlab matplotlib-pyplot numpy pandas-python pep8 python python3 scientific-programming scipy spyder-ide vscode

Last synced: 13 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/sadia-khan13/data-preprocessing

Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.

artificial-intelligence data-analysis data-mining data-preprocessing data-science jupyter-notebook matplotlib numpy pandas python seaborn-python sklearn

Last synced: 11 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/ot-code/coca-cola-stock-prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost

Last synced: 13 Apr 2026