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/dhruvv1402/spam-detection-python-

This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.

countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf

Last synced: 01 May 2026

https://github.com/jsnevt/regressao_logistica

Cálculos de probabilidades sobre uma eleição

matplotlib numpy pandas-dataframe python

Last synced: 11 May 2026

https://github.com/vishal-verma-96/Honey_Production_Analysis_using_Python

In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.

matplotlib numpy pandas python-3 python-visualization seaborn

Last synced: 19 Apr 2025

https://github.com/lc-rezende/eqx_boston_dataset

Exploratory data analysis, clustering, and forecasting on Boston crime data (2011-2015), revealing key crime trends, hotspots, and temporal patterns to support data-driven insights for urban safety and policing strategies.

data-analysis exploratory-data-analysis jupyter-notebook kmeans matplotlib numpy pandas prophet-facebook python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/shudhanshusaurabh001/super_market-data-analysis-using-python

This project focuses on analyzing supermarket sales data using Python. The goal is to extract meaningful insights from the dataset, such as sales trends, customer purchasing behavior, and product performance.

analysis csv data insights matplotlib numpy pandas project python seaborn

Last synced: 06 Apr 2026

https://github.com/azaz9026/eda

Exploratory Data Analysis (EDA) refers to the method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.

data-cleaning data-visualization encoding machine-learning matplotlib numpy pandas plotly python3 seaborn sklearn-library

Last synced: 15 Apr 2026

https://github.com/ebadshabbir/decision_tree_algorithm

Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.

decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/engichang1467/cnn-sign-language

Built a Convolutional Neural Network to train to recognize sign languages

kaggle keras matplotlib numpy pandas sklearn tensorflow

Last synced: 14 Apr 2026

https://github.com/manishkumarpatel07/heartattack_risk_prediction

"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.

boruta knn-algorithm matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/ralolooafanxyaiml/neural-evolution-engine

A modular AI evolution simulation engine built with Python and TensorFlow. Uses Deep Learning to predict organism adaptations against environmental threats.

artificial-intelligence deep-learning evolution-simulation keras machine-learning neural-networks numpy oop pandas python scikit-learn simulation tensorflow

Last synced: 07 Jan 2026

https://github.com/rgandhi8/inventory-management-system

This project is an AI-driven Inventory Management System designed to optimize supply chain efficiency by leveraging machine learning techniques for demand forecasting. The system integrates ARIMA and ANNs to predict inventory needs, minimize shortages, and reduce holding costs also enhances decision-making by automating inventory planning.

dashboard inventory-management-system machine-learning numpy pandas python seaborn

Last synced: 08 Jun 2026

https://github.com/hafaio/hilbert-bytes

A python library for converting between d-dimensional points and indices on a hilbert curve

hilbert-curve numba numpy python

Last synced: 12 Feb 2026

https://github.com/hariprasath-v/hackerearth_transunion-data-science-analytics-hiring-challenge_2022

Machine learning model to classify the credit score based on people bank details and credit related information.

catboost exploratory-data-analysis klib machine-learning matplotlib numpy optuna pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/abhisek-13/multi-commodity-price-predictor

The Multi-Commodity Price Predictor is a machine learning project that predicts the prices of cars, bikes, and laptops. Using advanced techniques, it provides accurate price predictions based on user inputs. The project features an easy-to-use interface built with Streamlit, enabling users to get price predictions quickly and easily.

machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn sklearn-library streamlit

Last synced: 09 Apr 2026

https://github.com/bilalm04/autonomous-lane-detection

An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.

artificial-intelligence computer-vision lane-detection machine-learning matplotlib numpy opencv python

Last synced: 20 Jan 2026

https://github.com/gatuno1/details_meson_numpy_error

Documents for exploration of meson error on numpy installation over PyPy on Windows

meson numpy pypy unicode windows

Last synced: 11 May 2026

https://github.com/nahiyanhkhan/stock-market-data-analysis_capstone-project

In this course, learned and solved assignments on SQL and Python. Final capstone project was on analyzing "Stock Market Data". Achieved 100% score in every assignment.

data-analysis data-analytics matplotlib mysql mysql-database numpy pandas python sql

Last synced: 09 Apr 2026

https://github.com/voidkeishi/computational-science

This repository contains implementations of algorithms from the course "Computational Science" at HUST

computational-science numpy python

Last synced: 02 May 2026

https://github.com/pymivn/vinastats

Khám phá các sự thật ở Việt Nam với thống kê và số liệu từ tổng cục thống kê Việt Nam

numpy pandas statistics vietnam

Last synced: 02 Apr 2026

https://github.com/rokmark0/auto-feature-engineering

🐙 Automated feature engineering toolkit that creates, selects, and transforms features for machine learning on tabular data, boosting model accuracy and speeding workflows.

auto-feature-engineering automl aws-ec2 dask data-science explainable-ml feature-engineering featuretools machine-learning mahinelearning numpy pandas pandas-library python r sagemaker supervised-learning unsupervised-learning

Last synced: 10 Apr 2026

https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle

Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9

classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml

Last synced: 11 Apr 2026

https://github.com/camsai/jupyterlite

CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.

chemistry jupyterlite materials materials-design materials-informatics materials-science matplotlib numpy pyodide python scipy

Last synced: 02 May 2026

https://github.com/pthmhatre/smart-attendance-system-using-face-recognition

This project aims to create a smart attendance system using face recognition technology. The system captures and recognizes faces in real-time and marks attendance automatically, providing a seamless and efficient way to manage attendance records.

adafruit computervision css face-recognition iot iot-application javascript mysql numpy opencv php pickle python raspeberry-pi rfid

Last synced: 12 Apr 2026

https://github.com/ishaj72/analysis_model2

Dataset analysis model using matplotlib and other libraries

machine-learning matplotlib numpy pandas

Last synced: 09 May 2026

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

Machine Learning python bootcamp: logistic regression on titanic dataset

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

Last synced: 12 Apr 2026

https://github.com/saopicc/ddfacet-kernels

Modular implementation of the DDFacet Gridding Kernels

numpy radio-astronomy

Last synced: 26 Jan 2026

https://github.com/amirkh777/data-science-yandex-practicum

My projects from the Yandex Practicum Data Science course.

data-science matplotlib numpy pandas python scikit-learn scipy seaborn

Last synced: 12 Apr 2026

https://github.com/niteshchawla/aerofit-casestudy

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 09 Apr 2026

https://github.com/maruf346/python-programs

Here some basic python programs are uploaded. Find your needed one. Happy coding!

dict-python list-in-python numpy numpy-exercises pandas-python set-in-python tuples-in-python

Last synced: 16 May 2026

https://github.com/mohith-2002/plotchart

PlotChart is a web application created by the Python library Streamlit.

matplotlib numpy pandas python streamlit

Last synced: 12 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_05

Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier

classification numpy pandas python random-forest-classifier reporting scikit-learn svm-classifier svm-model xgbclassifier

Last synced: 12 Apr 2026

https://github.com/jillmpla/pythonxmldatabase

A Python & XML database application for a book collection.

database matplotlib numpy pandas pandas-dataframe python xml

Last synced: 12 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/iadtya/hate-text-classification

Training RNN(LSTM) on Hate speech with tensorflow and keras

fastapi keras lstm nltk numpy pandas tenserflow

Last synced: 12 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/oaerobert/python-for-finance

Implementations of financial mathematics and statistics using the "Python for Finance" textbook. Includes Monte Carlo simulations, predictive stock prices using ML strategies and real world data visualisations.

matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/sadegh15khedry/creditcard-transaction-anomaly-detection-using-isolationforest

detecting fraudulent transactions in credit card data using anomaly detection techniques.

anomaly-detection matplotlib numpy pandas python seaborn sklearn

Last synced: 27 Feb 2025

https://github.com/marvin-vw/3dengine_python

3D engine written in Python using OpenCV and NumPy

3dengine numpy opencv python

Last synced: 04 Feb 2026

https://github.com/helenaden/data-science-fundamentals

This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas

data-analysis datascience datasets datavisualization datawrangling heatmap numpy pandas patterns python

Last synced: 03 May 2026

https://github.com/0xunkn0wn4m1r/data_engineering_banking_project

🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.

automation data-analysis data-cleaning data-science feature-engineering fintech-bank flask-api loan-default-prediction machine-learning mlops model-explainability numpy postgresql scikit-learn segmentation shap sql unsupervised-learning

Last synced: 09 Apr 2026

https://github.com/ashish-kr-srivastava/olympic-games-eda---python

About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.

data-visualization datacleaning eda matpotlib numpy pandas python seaborn seaborn-python

Last synced: 09 Apr 2026

https://github.com/jvictor011/analise_de_dados_pokemon

Este projeto se concentra na análise dos dados da Pokedex, que incluem informações sobre vários Pokémon. O código em Python realiza várias etapas de análise exploratória de dados (AED) e gera visualizações para entender melhor as características dos Pokémon.

matplotlib numpy pandas python scipy

Last synced: 07 May 2025

https://github.com/hansalemaos/npsearchsequence

Sequence / string search with NumPy

fast numpy search sequence string

Last synced: 19 May 2026

https://github.com/amruta33/customer-support-on-twitter

The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact.

nlp numpy pandas python regex sklearn

Last synced: 12 Apr 2026

https://github.com/elhanarinc/deeplearning

Ceng 783 Deep Learning Assignments

ipython-notebook jupyter-notebook numpy python2

Last synced: 06 May 2026

https://github.com/dpgitaccount/project-customer-segmentation-analysis-with-power-bi

This project segments customers based on their purchasing behavior to identify different target groups. It demonstrates skills in data analysis, clustering, and visualization using Power BI.

kmeans-clustering-algorithm linear-regression numpy pandas powerbi python seaborn segmentation

Last synced: 09 Apr 2026

https://github.com/mdarshad1000/ml-libraries

Code for the scientific and visualization libraries in Python for Machine Learning.

matplotlib numpy pandas seaborn

Last synced: 09 Apr 2026

https://github.com/adarshpheonix2810/fake-job-post-detection

This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.

data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter

Last synced: 12 Apr 2026

https://github.com/kisaa-fatima/foreground-segmentation-using-kmeans-face-recognization-using-knn

Implement a basic version of the interactive image cut-out/segmentation approach called Lazy Snapping. The program uses K-Means Clustering to segment images into foreground and background based on user-provided seed pixels.

face-recognition foreground-segmentation kmeans-clustering knn-classification matplotlib numpy opencv2 pil

Last synced: 03 May 2026

https://github.com/tebogoyungmercykay/mathematical_modelling_in_python

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy

Last synced: 14 Mar 2025

https://github.com/hairymax/python-for-science-lecture-notes

Tutorial material on the scientific Python ecosystem in Russian

matplotlib numpy python scipy sympy

Last synced: 12 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/dmarks84/ind_project_european-soccer-top-points-contributors--kaggle

Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.

data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test

Last synced: 09 Apr 2026

https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/sakshithbillava/expense-manager

A web-based expense tracking app built with Python and Streamlit, featuring real-time updates, data visualization, user authentication, and MongoDB integration.

authentication data-visualization expense-manager matplotlib mongodb numpy pandas personal-finance python streamlit webapp

Last synced: 09 Apr 2026

https://github.com/3rd-son/movie-streaming-service-analysis

Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python seaborn

Last synced: 18 Apr 2026

https://github.com/werctfourth/python-border-autocrop2

Python script that crops borders from images v2

border crop image-processing libvips numba numpy python python3

Last synced: 17 May 2026

https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit

Codigo focado em treinamento de modelo de previsão de salario por tempo de empresa e nivel dentro da empresa disponibilizado por api e usando front-end streamlit para calcular basta inserir tempo de empresa e nivel e calcular o resultado de salario compativel

api fastapi joblib machine-learning matplotlib numpy pandas pingouin pydantic scikit-learn seaborn streamlit uvicorn

Last synced: 12 Apr 2026

https://github.com/khaymanii/credit-card-fraud-detection-model

This model was built using python and Logistic Regression Machine Learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 May 2026

https://github.com/allenvox/statistics

Workspace for applied problems of probability theory & mathematical statistics & modelling class

acf autocorrelation distribution k-means k-means-clustering maths matplotlib numpy probability-theory python sklearn statistics

Last synced: 17 Apr 2026

https://github.com/singhvishal003/bert-sentiment

Sentiment Analysis Model To Detect the Sentiments.

beautifulsoup numpy pandas requests torch torchvision

Last synced: 09 Apr 2026

https://github.com/yoavram/numpycharm

Some examples on using PyCharm with Scientific Python

cython numpy pycharm python scientific-computing training-materials

Last synced: 11 Apr 2026

https://github.com/nisch-mhrzn/book-recommender-system

A Flask-based application that suggests books tailored to user preferences, leveraging collaborative filtering and a curated dataset.

flask numpy pandas python

Last synced: 12 Apr 2026

https://github.com/fimbres/emotion-recognition

This is an AI project developed in Python to recognize emotions in people.

ai kaggle-dataset keras numpy opencv python tensorflow

Last synced: 12 Apr 2026

https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project

This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.

matplotlib numpy pandas python scikit-learn seaborn tensorflow

Last synced: 10 Apr 2026

https://github.com/jvictor011/analise_de_precos_de_materias-primas_agricolas

Este projeto concentra-se na análise dos dados de preços de várias matérias-primas agrícolas ao longo do tempo. O conjunto de dados usado para esta análise é chamado de agricultural_raw_material.csv.

matplotlib numpy pandas python seaborn

Last synced: 07 May 2025