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/aminkhavari78/-maternal-health-risk-data-set

In this part I'm working on Maternal Health Risk Prediction

data-science linearsvc machine-learning matplotlib numpy pandas scatter-plot sklearn

Last synced: 05 May 2026

https://github.com/kr1shnasomani/facetronix

A toolkit for face detection, annotation, and mask recognition.

computer-vision deep-learning keras neural-network numpy opencv tensorflow

Last synced: 05 Apr 2026

https://github.com/yalai92/master_academic_projects

This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.

automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost

Last synced: 13 Jun 2025

https://github.com/muhkartal/fr-framework

A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.

dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn

Last synced: 13 Apr 2026

https://github.com/nikhilfuke1/movies-recommendation-system-python-project-

This project is a simple movie recommendation system built using Python. It suggests movies based on the similarity of titles and a predefined similarity score matrix.

difflib numpy pandas python sklearn

Last synced: 30 Dec 2025

https://github.com/guifernandess7/ciencia-de-dados-e-ml-notebooks

Notebooks com uso dos módulos Pandas, Numpy e Matplotlib para análise de dados e criação de gráficos e tensorFlow e seaborn para machine learning e visualização

machine-learning matplotlib numpy pandas python tensorflow

Last synced: 04 Apr 2026

https://github.com/lgope/book-recommender-system

Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset

collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python

Last synced: 13 Apr 2026

https://github.com/nellyndj52/breast-cancer-classification-ml

This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).

breast-cancer cancer dataset flask-api heroku-deployment lime machine-learning mlp-networks numpy perceptron-neural-networks pickle segmentation support-vector-machines svm

Last synced: 03 Apr 2025

https://github.com/zalkklop/lvsm

Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)

attention-mechanisms deep-learning github-config large-view-synthesis matplotlib multi-label-classification nltk numpy one-vs-rest python seaborn sql tensorflow transformers

Last synced: 09 Apr 2025

https://github.com/sudarshanc00/brain-tumor-classification

This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.

matplotlib numpy pytorch resnet scikit-learn streamlit

Last synced: 10 Apr 2026

https://github.com/mathensley/asimpleneuralnetworklib

A simple library in Python for training datasets using neural network models

deep-learning neural-networks numpy python

Last synced: 19 Apr 2026

https://github.com/firewind25/gdp-data-extraction-and-processing

Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis

numpy pandas python webscraping

Last synced: 12 Jul 2025

https://github.com/blinksta1ker/spam-mail-classification

Supervised ML model using Logistic Regression model to classify an email as Ham or Spam

jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning

Last synced: 09 Apr 2026

https://github.com/mnitin-reddy/image-compression-using-k-means-clustering

This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.

image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy

Last synced: 19 May 2026

https://github.com/paulinhok14/csgo-datascience-project

📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.

matplotlib mlflow numpy python scikit-learn scipy seaborn

Last synced: 30 Dec 2025

https://github.com/kasraskari/learn-python-codes

A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.

jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials

Last synced: 09 Apr 2026

https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python

The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.

analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn

Last synced: 13 Sep 2025

https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python

Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region

numpy opencv-python pycharm-ide

Last synced: 05 May 2026

https://github.com/christabelsakyi/employee_attrition_prediction

This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.

machine-learning numpy pandas plotly python sklearn streamlit

Last synced: 09 Apr 2026

https://github.com/redinfinitypro/ai_projects

Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.

newspaper nltk numpy python random sklearn string warnings

Last synced: 20 Jul 2025

https://github.com/danish-jamil-01/image-dehazer

Remove the haze from the image using dark channel prior and guided filter

dark-channel-prior guided-filter guided-filtering ndimage numpy open-cv opencv opencv-python pillow python scipy skimage tkinter

Last synced: 09 Apr 2026

https://github.com/tahir1072a/titanic-veri-analizi

Kaggle Titanic veri seti kullanılarak NumPy ve Pandas ile yapılan veri analizi projesi.

data-science kaggle numpy pandas python titanic-survival-prediction

Last synced: 30 Dec 2025

https://github.com/chubi-x/sort-it-image-classifier

Sort-it is an image classification application that classifies images of cats, dogs, bicycles, cars, and motorcycles.

image-classification machine-learning numpy pandas python streamlit tensorflow

Last synced: 05 Apr 2026

https://github.com/memgonzales/order-brushing-shopee2020

Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection

data-analytics e-commerce fraud-detection jupyter-notebook numpy order-brushing pandas python rule-based

Last synced: 11 Apr 2026

https://github.com/omarnahhass/crypto-cast

CryptoCast is a machine learning-powered tool that showcases three fundamental prediction models for forecasting cryptocurrency prices

cryptocurrency machine-learning numpy pandas python

Last synced: 05 May 2026

https://github.com/pramodyasahan/custom-image-classification-model

This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.

computer-vision convolutional-neural-networks cv2 keras matplotlib numpy tensorflow

Last synced: 11 Apr 2026

https://github.com/bishopce16/movies-etl

The goal of this project was to create an automated pipeline for a company Amazing Prime that is hosting a hackathon.

json numpy pandas pgadmin4 psycopg2 python regular-expressions sql sqlalchemy time

Last synced: 11 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-lr

Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.

ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer

Last synced: 09 Apr 2026

https://github.com/sagravela/plotground

Plotting Tool with Matplotlib and Tkinter. Video Demo:

matplotlib numpy python tkinter

Last synced: 19 May 2026

https://github.com/urvee1810/bitcoin-price-forecasting-using-arma

The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.

arima arma augmented-dickey-fuller-test feature-engineering machine-learning matplotlib mplfina numpy pandas python random-forest randomforestregressor scikit-learn seaborn statsmodels time-series-analysis

Last synced: 06 Mar 2026

https://github.com/martinkersner/kmeans-meetup

Presentation about k-Means for Seoul AI Meetup on July 22, 2017.

kmeans numpy python scikit-learn

Last synced: 03 May 2026

https://github.com/poziloi/-math-

Системы компьютерной математики, задания

jupyter-notebook math matplotlib numpy pandas python scipy seaborn

Last synced: 30 Dec 2025

https://github.com/kaikyMoura/BackCourt-api

Repository for the Basketball Advanced Stats API

fastapi nba-api nba-stats numpy pandas python swagger uvicorn

Last synced: 08 Apr 2026

https://github.com/chandkund/recipe-recommendations

The Recipe Recommendations project leverages natural language processing (NLP) techniques to process recipe descriptions and classify them into categories like desserts, main courses, and more. The system provides personalized recommendations by analyzing the text input and suggesting relevant recipes.

embeddings matplotlib nlp numpy pandas softmax tensorflow

Last synced: 06 Apr 2026

https://github.com/dhanas3kar/python-libraries

Practice codes using Python libraries like NumPy, SciPy, Matplotlib, Pandas, and others. Covers basics, examples, and simple exercises for learning data handling, numerical computing, and visualization.

coding-excersise data-analytics-project data-v matplotlib numpy pandas practice python python-libraries scipy

Last synced: 09 Apr 2026

https://github.com/adirbella37/safety-analytics-project

Final project in Safety Management: analytics and predictive modeling for occupational incidents. Includes EDA, logistic regression, Poisson/Negative Binomial with overdispersion checks, ROC/AUC, and prediction exercises.

classification data-visualization drunk-and-drive eda logistic-regression matplotlib negative-binomial numpy occupational-safety overdispersion pandas poisson-regression python road-safety roc-auc scikit-learn seaborn statmodels

Last synced: 09 Apr 2026

https://github.com/ahmedabdalkreem/preprocessing

All you need to be dataset ready to work in model without any Noise.

numpy pandas python3

Last synced: 07 Apr 2026

https://github.com/ashishsingh789/customer_purchase_prediction_using_decision-tree-_classifier

Decision Tree Classifier to predict customer purchases using demographic and behavioral data. Key steps: data preprocessing, EDA, model training, evaluation, and feature importance analysis.

data datascience desiciontree eda machine-learning-algorithms matplotlib numpy pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/thavinduushan/linear-regression

A linear regression model to predict premium price of an insurance. The dataset includes around 1,000 observations. The project, aimed at learning, was implemented in Jupyter notebooks using NumPy, Matplotlib, Pandas, Keras, and TensorFlow.

matplotlib numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties

Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.

catboost machine-learning matplotlib numpy pandas seaborn shap sklearn

Last synced: 11 Apr 2026

https://github.com/ashwathdazur/understanding-ds-using-python

Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.

data-science dataanalysis matplotlib numpy panda python3

Last synced: 19 May 2026

https://github.com/abhijeet107/household-transactions-analysis-report

This project analyzes household financial transactions spanning from 2015 to 2018, focusing on income, expenses, net savings, and spending patterns across categories and modes of payment.

matplotlib numpy pandas powerbi python seborn

Last synced: 11 Apr 2026

https://github.com/navindafernando/heart-disease-prediction

Deploying the heart risk level predicting Regression model in a web application using Flask :white_flower:

flask html joblib machine-learning numpy supervised

Last synced: 06 May 2026

https://github.com/nazmul-1117/100-days-of-machine-learning

I'm Nazmul so exited to start a new journey to learn 100 Days of Machine Learning. It's February 8, 2025. I'm so exited, let's see what happened insha'Allah

data-science machine-learning numpy pandas-dataframe python3 scikit-learn statistics

Last synced: 11 Aug 2025

https://github.com/sandyg6/breast-cancer-classification

Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework

flask html-css-javascript numpy pandas python random-forest-classifier

Last synced: 05 Apr 2026

https://github.com/schmitzandrew/math_in_python

Math Functions in Python

math numpy python

Last synced: 19 May 2026

https://github.com/yashika-malhotra/machine-learning---linear-regression-on-education-institute

In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.

linear-models linear-regression matplotlib normalization numpy pandas python seaborn sklearn sklearn-library standardization standardscaler statsmodels

Last synced: 20 Jan 2026

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

🛢Handwritten Digit Recognition using OpenCV

added machinelearning numpy opencv python

Last synced: 09 Apr 2026

https://github.com/pradeep-r04/attendiq

AttendIQ is a Face Recognition Attendance System designed to automate and streamline the attendance process with precision and ease. By leveraging real-time face detection and recognition technology, AttendIQ eliminates the need for manual roll calls or ID-based check-ins. The system captures facial data during a quick registration process .

csv cv2 kneighborsclassifier numpy os pandas pickle python scikit-learn streamlit time

Last synced: 02 Apr 2026

https://github.com/subratamondal1/machine-learning

Machine Learning Notes with tools like Numpy, Pandas, Scikit-Learn.

machine-learning numpy pandas scikit-learn

Last synced: 10 Apr 2026

https://github.com/ahmedabdalkreem/diabetes

Complete project of people that have diabetes and show what features that explain that person be sick.

bagging-ensemble classification descision-tree ensemble logistic-regression matplotlib numpy pandas python3 sklearn svm voting-classifier

Last synced: 05 Apr 2026

https://github.com/rahulsm20/car-data

A data analytics project that involves analyzing a car dataset that includes information on various car brands, years, prices, mileage, and fuel types, in order to gain insights into the car market.

data-analysis data-analytics matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/mike014/chatbot_app

Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.

deep-learning dialogpt keras-neural-networks keras-tensorflow knn machine-learning-algorithms ml natural-language-processing nlp nltk nltk-python numpy pca python seq2seq tensorflow textpreprocessing tk tokenizer

Last synced: 09 Feb 2026

https://github.com/yash-rewalia/airline-passeneger-recommendations-classification

The primary objective is to deploy a robust classifier model that accurately predicts user recommendations, empowering airlines to strategize effectively, understand user behavior, optimize services, and align business strategies with financial objectives.

decsion-tree hypothesis-testing knn machine-learning numpy pandas python random-forest-classifier svm-classifier

Last synced: 07 Apr 2026

https://github.com/labex-labs/quick-start-with-numpy

Quick Start with NumPy | This repo collects 15 of programming labs exercises for Quick Start with NumPy. This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.

challenges course exercises hands-on labex labs numpy playgroud programming python

Last synced: 31 Dec 2025

https://github.com/arufonsekun/machine-learning-models

Machine Learning algorithms and related study notes.

neural-networks numpy python3

Last synced: 19 May 2026

https://github.com/tristanbilot/mycnn

Convolutional Neural Network implementation from scratch, used on LeNet5 model with mnist dataset.

data-science deep-learning machine-learning neural-networks numpy python

Last synced: 19 May 2026

https://github.com/mateuszskoczek/3drenderer

A simple 3D renderer that allows you to move around the scene using the keys.

3d 3d-graphics computer-graphics numpy pygame python rendering

Last synced: 17 May 2026

https://github.com/ibrahimhabibeg/multimedia-project

Turn images monochrome and create transition between two images

canvas image-processing multimedia numpy pillow python react typescript vite

Last synced: 11 Apr 2026

https://github.com/ruan-narici/jokes_about_programming

Piadas engraçadas sobre programação e dados para dar aquela quebrada no tédio do dia a dia de dev.

module numpy pypi pypi-test python

Last synced: 07 Mar 2026

https://github.com/lefteris-souflas/the-algorithmic-approach-to-winning-guess-who

This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.

decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 09 Apr 2026

https://github.com/lyubov0406/data_analyst_portfolio

В репозитории собраны пет-проекты, демонстрирующие мои навыки в аналитике данных

data-analysis matplotlib numpy pandas portfolio python scipy seaborn sql tableau visualization

Last synced: 09 Apr 2026

https://github.com/shortthirdman/predictorxvault-cookbook

Master Machine Learning: A Collection of Classification & Regression Algorithms in Action

classification-algorithm jupyter-notebook jupyterlab keras matplotlib numpy pandas python python3 pytorch regression regression-models tensorflow

Last synced: 13 Apr 2026

https://github.com/fazal-coder/data-science-business-analytics-tsf

I have completed two tasks in this repository , task 3 and task 4

matplotlib numpy pandas python scipy

Last synced: 09 Apr 2026

https://github.com/henrique-efonseca/salary-range-distribution-tool

A web application to help job applicants propose an optimal salary within a given range using a normal distribution approach. Built with Python, Flask, Numpy, Scipy and JavaScript.

flask javascript numpy python scipy

Last synced: 02 Feb 2026

https://github.com/prateekrajsrivastav/ml-intern-iris-flowers-classification

TASK : 2 Iris Flowers Classification : "Predict the different species of flowers on the length of there petals and sepals only Jupyter notebook code."

machine-learning matplotlib numpy python scikitlearn-machine-learning seaborn

Last synced: 10 May 2026

https://github.com/asier-ortiz/apuntes-ia-ds

Materiales y apuntes del curso de IA y Ciencia de Datos

keras matplotlib numpy pandas python sckiit-learn seaborn tensorflow

Last synced: 09 Apr 2026

https://github.com/elifftosunn/rfm-customers-analysis

RFM analysis focuses on identifying and segmenting customers based on their purchasing behavior. Analyzed to understand and interact with customers. It can be used together for more effective marketing and customer management strategies.

apriori-algorithm association-rules cohort-analysis datetime fpgrowth kmeans-clustering matplotlib-pyplot minmaxscaler numpy pandas python3 rfm rfm-analysis seaborn silhouette-score sklearn tableau

Last synced: 09 Apr 2026

https://github.com/sweta-kaundilya/911-calls-capstone-project

For this capstone project we will be analyzing some 911 call data from Kaggle.

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

Last synced: 28 Apr 2026

https://github.com/ashkan-khd/recommender-systems

A series of recommender systems projects for DATA.ML.360-2024-2025-1 Recommender Systems at Tampere University

collaborative-filtering group-recommendation-system group-recommendations jupyter jupyter-notebooks numpy pandas python recommender-system

Last synced: 09 Apr 2026

https://github.com/chator3/three-body-problem-simulator

Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭

academic astrophysics gravity-simulation mplot3d newtonian-mechanics numerical-methods numpy orbital-mechanics physics physics-education science three-body-problem three-body-simulation threebodyproblem

Last synced: 18 Jul 2025

https://github.com/saikiran-erukonda/drug-labels-side-effects-analysis--a-ml-approach

An end-to-end real-time project on pharmaceutical data, focused on exploring statistical modeling, hypothesis testing, machine learning, and business intelligence techniques.

datascience-machinelearning matplotlib-figures numpy pandas python seaborn

Last synced: 17 Feb 2026

https://github.com/xmcp/midify

Experimental WAVE to MIDI converter

midi numpy waveform

Last synced: 18 Apr 2026

https://github.com/kishankrishna1/spam-classifier

Developed a Machine Learning-based Spam Classifier using Multinomial Naive Bayes to identify and filter spam messages with high precision

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/genndy007/ad_python_labs

Analysis of Data Laboratory Works of Sikorsky KPI, 3 year 2 semester

jupyter-notebook matplotlib numpy pandas python scipy seaborn sklearn

Last synced: 14 Apr 2026

https://github.com/9keystrokes/photorealistic-person-scene-composition

This computer vision project implements an advanced image processing pipeline to seamlessly integrate a person into any background scene with photorealistic results.

numpy opencv python rembg skimage

Last synced: 04 May 2026