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/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/1ayanabil1/100-days-of-python-bootcamp

Join me on my journey to code in Python every day for 100 days! 🐍 This challenge is designed to sharpen my programming skills, explore Python libraries, and build cool projects along the way.

data-structures data-structures-and-algorithms data-visualization django flask machine-learning matplotlib numpy pandas python seaborn web-development

Last synced: 09 Apr 2026

https://github.com/josafatburmeister/circle_detection

A Python package for circle fitting.

circle numpy objectdetection pointcloud python

Last synced: 09 Apr 2026

https://github.com/rissh/titanicsurvivalpredictionusingml

Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚒

data data-analysis data-science data-visualization dataanalysis jupiter-notebook machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas prediction prediction-model python python3 seaborn tenserflow tflearn titanic

Last synced: 01 Feb 2026

https://github.com/davityak03/english-audio-to-hindi-text-using-pretrained-model

The primary goal of this project is to transcribe English audio and then translate the transcribed text into Hindi.

adam-weight-decay css flask html nlp numpy python tensorflow tokenizer transformers translation

Last synced: 26 Feb 2026

https://github.com/luisall12/fraud-detection-machine-learning-python

Fraud detection system that recognises and signals strange transactions using machine learning

detection flask fruad html numpy pandas python ui

Last synced: 15 Apr 2026

https://github.com/r-papso/pynet

Deep learning library implemented in Python

deep-learning machine-learning neural-network numpy python

Last synced: 26 Feb 2026

https://github.com/abdulhadi806/muffin-or-cupcake-model

𝐌𝐚𝐜𝐑𝐒𝐧𝐞 π₯𝐞𝐚𝐫𝐧𝐒𝐧𝐠 model that is capable of checking whether the model I inputted is a mufin or cupcake, I am in a learning face today is 1/25/2024 let's see how far I can go in this field. Wish me luck:)

ai jupyter-notebook machine-learning numpy pandas python sklearn support-vector-machine svm

Last synced: 09 Apr 2026

https://github.com/matteopolak/chatterbox

RNN-based chat message generator.

numpy pandas python rnn tensorflow text-generation

Last synced: 07 May 2026

https://github.com/ayan6943/employee-attrition-prediction-with-machine-learning

Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.

attrition employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote

Last synced: 09 Apr 2026

https://github.com/sarowarahmed/predicting-kolkata-house-price

🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.

app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit

Last synced: 26 Feb 2026

https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning

Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf

numpy tensorflow tf-keras

Last synced: 07 May 2026

https://github.com/ganesh774218/eda-book-store

Exploratory data analysis on a book store dataset to uncover sales trends, popular genres, and top publishers.

data-visualization datacleaning datamanipulation eda matplotlib numpy pandas python pythonp pythonproject seaborn

Last synced: 07 May 2026

https://github.com/baschin1103/neural-network-building-in-python

In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.

bias building-ai forward-pass functioning identity linear-combinations neural-network numpy python regression relu

Last synced: 16 Apr 2026

https://github.com/bearddan2000/python-web-3d-matplotlib-stem-graph

A demo of creating a 3d scatter parametric curve and line graph.

3d graph matplotlib numpy pandas python stem web

Last synced: 09 Apr 2026

https://github.com/pointer2alvee/machine-learning-algorithms-scratch

Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.

machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models

Last synced: 07 May 2026

https://github.com/salvatoreamaddio/powerbi

This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.

numpy pandas pandas-python powerbi python

Last synced: 07 May 2026

https://github.com/prashhhant213/exploratory-data-analysis-for-multinational-retail-corporation

Analysis via CLT and Visualization on Multinational Retail Corporation's data to provide insights and recommendations to improve their userbase.

math matplotlib numpy pandas python scipy-stats seaborn stats

Last synced: 09 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/debjyotisaha/data-analytics-projects-phase-2

Developed and showcased various data analytics projects, including data preprocessing, exploratory data analysis, and visualization. Utilized tools such as Python, Pandas, NumPy, and Matplotlib to derive actionable insights and demonstrate problem-solving capabilities.

data-analysis data-preprocessing eda matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/v41bh4vr4jput/data-analysis-with-python

This repository is a comprehensive collection of data analysis projects and tutorials using Python's most powerful libraries: NumPy, Pandas, Seaborn, and Matplotlib. It is designed to help you explore, clean, visualize, and analyze data efficiently.

api data data-analysis data-visualization matplotlib numpy pandas python sakila-db seaborn

Last synced: 09 Apr 2026

https://github.com/harmanveer-2546/sentiment-analysis-of-amazon-fine-food

For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.

mathplotlib nlp-machine-learning ntlk numpy pandas pipeline python roberta-model seaborn transformer vader-sentiment-analysis

Last synced: 09 Apr 2026

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

Universal scientific data I/O with plugin registry β€” 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/mouradhamzaoui/tweets_sentiments_emotions_analysis

Les rΓ©seaux sociaux, et en particulier Twitter, sont des plateformes essentielles oΓΉ les utilisateurs expriment leurs sentiments et Γ©motions au quotidien. Analyser les tweets peut fournir des informations prΓ©cieuses sur l’humeur collective et les prΓ©occupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle

nltk numpy pandas sklearn

Last synced: 16 Apr 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/RedInfinityPro/CircuitPythonProjects

Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.

matplotlib numpy os pyspice sys

Last synced: 30 Sep 2025

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/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle

Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.

chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis

Last synced: 09 Apr 2026

https://github.com/sudip-13/plant-disease-detection

Plant disease detection from leaf uses machine learning to identify diseases for early intervention

cloudinary css docker jwt-token keras matplotlib-pyplot mongodb nodejs numpy reactjs tensorflow tensorflow-serving

Last synced: 09 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_09

ΠœΠΎΠ΄ΡƒΠ»ΡŒ 9. ΠŸΡ–Π΄Π±Ρ–Ρ€ Π³Ρ–ΠΏΠ΅Ρ€ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ–Π² НМ. Π“Π»ΠΈΠ±ΠΎΠΊΠ΅ навчання. Tensorflow. Keras.

adam-optimizer data-science google-colab keras keras-tensorflow numpy python

Last synced: 16 Apr 2026

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

Sistema completo de anΓ‘lisis y visualizaciΓ³n de datos cinematogrΓ‘ficos que proporciona insights detallados sobre pelΓ­culas, incluyendo anΓ‘lisis financiero, puntuaciones, tendencias temporales y un sistema de recomendaciΓ³n. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de pelΓ­culas.

matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit

Last synced: 16 Apr 2026

https://github.com/mattia-hulathduwage/wine-quality-analyzer

A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/dulajkavinda/handwritten-recognition

πŸ›’Handwritten Digit Recognition using OpenCV

added machinelearning numpy opencv python

Last synced: 09 Apr 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/imskully/python-cv-fault-detection

Fault detection algorithm that determines whether or not a fault exists within a ring using raw computer vision.

ccl computer-vision matplotlib morphology numpy opencv python

Last synced: 07 May 2026

https://github.com/justin-marian/numpy-mlp

MLP from-scratch implementation only with NumPy, it supports regression and classification tasks.

classification lasso mlp numpy r2-score regression ridge

Last synced: 16 Feb 2026

https://github.com/ifimust/room_generator

Room generator service for 2D game levels

flask google-app-engine microservice numpy procedural-generation python

Last synced: 07 May 2026

https://github.com/anujdutt9/reinforcement_learning

Reinforcement Learning using Numpy and PyTorch.

numpy python3 pytorch reinforcement-learning

Last synced: 16 Apr 2026

https://github.com/williyam-m/movie_booking_app

A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.

django machine-learning numpy orm pandas python sckiit-learn sqlite3

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/jose-zothner-meyer/finance-individual-loans

A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.

credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn

Last synced: 09 Apr 2026

https://github.com/adityarohatgi11/regression_analysis_london_crime

This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.

data-wrangling numpy pandas regression-analysis statsmodels

Last synced: 11 May 2026

https://github.com/magnusrodseth/disaster-tweets

πŸ“š Assignments in the course IT3212 - Data Driven Software at NTNU. Our task is to classify whether a tweet is related to a disaster or not.

adaboost jupyter-notebook logistic-regression numpy pandas python python3 random-forest support-vector-machines xgboost

Last synced: 16 Apr 2026

https://github.com/alyssahusna44/poai-image-classification

An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. πŸ—‚οΈ

artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow

Last synced: 09 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/macktb/tetris

Tetris game

list-comprehension numpy

Last synced: 16 Apr 2026

https://github.com/anas436/student-performance-analysis

In this project I have constructed a Machine Learning System which will analyis students performance with about their academic records. Note that, this project will work with any students recods which you want to provide.

data-analysis jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 16 Apr 2026

https://github.com/thekartikeyamishra/customer-retention-predictor

The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.

joblib machine-learning numpy pandas python scikit-learn tinker

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/moonmoonsamal/meesho_order_financial_analysis

Generating insights from Meesho sales data (Oct-Nov)

cleaning-dataset eda numpy pandas visualization

Last synced: 16 Apr 2026

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 27 Mar 2026

https://github.com/jim-by/scrape_analysis_books

Scraping book data from the website books.toscrape.com and performing analysis on the collected data.

beautifulsoup json matplotlib numpy pandas python scipy scraping seaborn

Last synced: 09 Apr 2026

https://github.com/rphadtare/python_by_example

This repository consist sample programs to learn and understand core concepts

duckdb numpy pandas python-os python3

Last synced: 27 Jun 2026

https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn

This repo desribes bulding a decision tree to predict customer churn in a given organisation

accuracy-score decision-tree-classifier matplotlib-pyplot numpy pandas-dataframe scikit-learn

Last synced: 07 May 2026

https://github.com/christabelsakyi/sentiment_analysis

This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance. Dataset

imblearn machine-learning nltk numpy python sklearn

Last synced: 07 May 2026

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

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

augmented-reality numpy opencv-contrib python

Last synced: 16 Apr 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/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/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/akshatkmistry/parkinsons_disease_predictor-voice_measures

This project implements a machine learning system to detect Parkinson's disease using voice measurements. The application uses a Random Forest classifier trained on voice feature data to predict the likelihood of Parkinson's disease with high accuracy (94%).

machine-learning matplotlib numpy pandas random-forest-classifier seaborn sklearn streamlit

Last synced: 09 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/yanxue06/housing-price-predictor

Python-based California housing price predictor

jupyter numpy pandas python seaborn

Last synced: 06 Mar 2026

https://github.com/vaishnavis03/finlatics_ml_program

This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.

correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn

Last synced: 17 Apr 2026

https://github.com/kodemartin/np-pd-portfolio

Portfolio of numpy, pandas, and matplotlib solutions

matplotlib numpy pandas

Last synced: 17 Apr 2026

https://github.com/neerajcodes888/a-novel-used-car-price-prediction-model-based-on-lindenoise

Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy

car-price-prediction deep-learning ipynb-notebook machine-learning numpy pandas python3 visualization

Last synced: 06 Mar 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/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

ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠΏΠΎ Π°Π½Π°Π»ΠΈΠ·Ρƒ Π΄Π°Π½Π½Ρ‹Ρ… МИРЭА 3 курс.

ml numpy pandas python shap sklearn xgboost

Last synced: 02 Apr 2026

https://github.com/harmanveer-2546/house-price-prediction-

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn svm

Last synced: 09 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/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/kiarashyavari/python_interview

Practice intermediate to advance topics of Python here

decorators generator multiprocessing multithreading numpy pandas python python3

Last synced: 17 Apr 2026