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/quocanh189/sentiment_analysis_eventhub

This project implements a Sentiment Analysis model using a neural network architecture built with Keras. The model classifies text into binary sentiment categories (positive or negative) by leveraging word embeddings and Gated Recurrent Units (GRU) layers. Additionally, the project includes a simple Flask web application to provide a real-time sent

docker flask nlp-machine-learning numpy pandas sentiment-analysis tensorflow

Last synced: 28 Oct 2025

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

Методы и алгоритмы цифровой обработки изображений, задания

cv2 matplotlib numpy python

Last synced: 20 Jan 2026

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 05 Apr 2026

https://github.com/babagata/praktikum-4-data-analysis

Data analysis for course "Physics laboratory IV"

matplotlib numpy pandas scipy

Last synced: 28 Apr 2026

https://github.com/michelenana/projet-7

PRODUISEZ UNE ETUDE DE MARCHE AVEC R OU PYTHON

acp boxplots cah kmeans matplotlib numpy pandas python scipy seaborn sklearn

Last synced: 08 Apr 2026

https://github.com/alejandrolara11/desafio_latam_introduccion_analisis_de_datos

Repositorio del curso "Introducción al Análisis de Datos" de Desafío Latam. Ejercicios prácticos realizados durante el curso, enfocados en análisis de datos con Python, Pandas, y visualización básica.

data-analysis data-science data-visualization matplotlib numpy pandas python seaborn statsmodels

Last synced: 29 Apr 2026

https://github.com/shibam120302/dog_breed_prediction_app

The Dog Scanner app will identify your dog's breed reliably in just a few seconds! Besides taking a picture, you can also record a video or upload an image from your gallery. Got a mixed breed? No problem, the Dog Scanner app also recognizes mixed breeds!

keras numpy opencv python

Last synced: 06 Apr 2026

https://github.com/asut00/python-piscine_42ai

Python Bootcamp: A one-week intensive course with 42AI at École 42, covering Python fundamentals, data manipulation, and introductory AI concepts.

matplotlib numpy pandas python

Last synced: 07 May 2026

https://github.com/haydencordeiro/terafeed

Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)

javscript numpy pandas powerbi python scikit-learn tableau vuejs

Last synced: 08 Apr 2026

https://github.com/heyitsjoealongi/fantasy-football-qbwr-model

Fantasy Football: Quarterback / Wide Receiver - Gaussian Process Regression (GPR) Machine Learning Model

machine-learning matplotlib model numpy python scikit-learn

Last synced: 01 Apr 2025

https://gitlab.com/DLR-SY/beos

Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.

fortran numpy python

Last synced: 16 Aug 2025

https://github.com/chandkund/image-classification-using-the-mnist-dataset

Image Classification using the MNIST dataset. This project leverages a Convolutional Neural Network (CNN) to recognize and classify handwritten digits with high accuracy. Includes data preprocessing, model architecture, and evaluation. Explore the code and results here!

computer-vision data-science machine-learning matplotlib numpy pandas python

Last synced: 08 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_02

Модуль 2. Знайомство з Pandas, Аналіз файлів, Аналіз датасет c Kaggle.com.  Python Data Science. Homework.

datascience google-colab homework jupyter-nootebook matplotlib numpy numpy-arrays pandas python seaborn seaborn-plots

Last synced: 17 Apr 2026

https://github.com/allenvox/neural

Workspace for Neural Networks class

jupyter-notebook neural-networks numpy python pytorch tensorflow

Last synced: 02 Jan 2026

https://github.com/jovicdev97/Financial-Loan-DataScience-Notebook

using numpy and pandas to analyze a synthetic loan dataset with python

data-analysis matlabplot numpy pandas plotting python seaborn

Last synced: 12 Mar 2025

https://github.com/zborovskaanna/grosery_store_sales_analysis

Python data analysis project. Analysis of grocery store sales using visualizations and reporting in Tableau

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

Last synced: 08 Apr 2026

https://github.com/raghavendranhp/airbnb-data-analysis

The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.

eda jupyter-notebook mongodb numpy pandas powerbi preprocessing

Last synced: 08 Apr 2026

https://github.com/5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

decisiontreeregressor dummyregressor linearregression numpy pandas randomforestregressor scipy seaborn smape supervised-learning

Last synced: 08 Apr 2026

https://github.com/manuethomas/traffic-accident-analysis-us

The project provides a comprehensive analysis of traffic accidents in the US from 2016-2023 aiming to identify key factors contributing to accidents. The analysis also focussed on finding features that could be used to develop a predictive model

exploratory-data-analysis feature-engineering feature-selection matpllotlib numpy pandas seaborn

Last synced: 20 Mar 2025

https://github.com/rakibhhridoy/covid19analysisindashboard-tableau

Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.

covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards

Last synced: 06 May 2026

https://github.com/mukhtarmid/data-science

This repository is for the knowledge of data science.

datascience eda numpy pandas

Last synced: 10 May 2026

https://github.com/chaitanyac22/cross_platform_product_mapping_algorithm_for_products

This repository contains a product ID mapping solution using TF-IDF vectorizer for weighted text vectors, Facebook AI Similarity Search (FAISS) for coarse filtering with cosine similarity, and Levenshtein distance for refined matching against the Blinkit catalog. Achieved 11.45% match for Zepto and 11.48% for Instamart.

exploratory-data-analysis faiss levenshtein-distance nlp numpy pandas similarity-search tf-idf-vectorizer

Last synced: 20 Mar 2025

https://github.com/ansh2709/customer-segmentation-ml-project

Project segregates the customers on the basis of their spending score and annual income using K-Means Clustering that is a part of unsupervised learning

clustering-algorithm k-means-clustering machine-learning matplotlib-pyplot numpy pandas python unsupervised-machine-learning wcss

Last synced: 01 May 2026

https://github.com/abdelrahman-amen/attendance_system

An AI-driven system leveraging real-time face recognition to automate attendance, ensuring accuracy, scalability, and seamless CSV logging of names and timestamps.

cmake cv2 dlib face-recognition numpy python

Last synced: 20 May 2026

https://github.com/aysh2603/twitter-sentiment-analysis

The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.

hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn

Last synced: 13 Jul 2025

https://github.com/sultanazhari/factors-that-affect-vehicle-prices.

Crankshaft List Company want to know what the factors that affect to vehicles prices. As a data Analyst we're giving list of factor that affect with vehicle prices.

matplotlib-pyplot numpy python3 seaborn vehicles

Last synced: 11 May 2026

https://github.com/abhay-kanwasi/ml-learning

Discover a repository brimming with machine learning insights and projects. Dive into comprehensive documentation of ML concepts, algorithms, and techniques. Explore hands-on projects spanning sentiment analysis, image classification, recommendation systems, and more.

ml numpy pandas python recommender-system sklearn streamlit-webapp themoviedb-api

Last synced: 02 Apr 2026

https://github.com/hotequil/fish_classification

Identify the fish specie with Machine Learning.

classification fish keras numpy python tensorflow

Last synced: 27 Mar 2025

https://github.com/davityak03/sentence-paraphraser-checker-using-transformers

This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.

keras nlp nltk numpy python tensorflow tokenizer transformers

Last synced: 02 Jan 2026

https://github.com/swat1563/recommendation-system

This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.

analytics data-analysis data-visualization engine kaggle numpy pandas powerbi powerbi-dashboards powerbi-desktop powerbi-reports python recommendation-engine recommendation-system recommender-systems scikit-learn scipy

Last synced: 07 Jan 2026

https://github.com/rdvdev2/tf-test

Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR

numpy python research-project tensorflow tensorflow-tutorials

Last synced: 22 Mar 2025

https://github.com/mikma03/simulation_modeling

Simulation models using Python. Practical use of Python in real-world examples and additional resourses.

matplotlib numpy pandas portfolio python simulation stocks

Last synced: 08 May 2026

https://github.com/armandomtz05/optikit

Solution of the paraxial wave equations using different coordinates systems

fourier-transform holography numerical-methods numpy optics-code optics-simulation pillow

Last synced: 02 Feb 2026

https://github.com/omraj0/covid19-data-analysis

Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.

covid-19 google-colab matplotlib numpy pandas python

Last synced: 19 Apr 2026

https://github.com/chandkund/loan-eligibility-prediction

This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.

data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/glbter/data-analysis-py

data-analysis labs. 50/50 made with Oleh Tonkoshkur

numpy pandas python3 scipy-stats

Last synced: 12 Jun 2026

https://github.com/pranjalshivhare06/medical-ensurance-charge-predictor

The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.

fastapi machine-learning numpy pandas xgboost-classifier

Last synced: 19 Apr 2026

https://github.com/anmamun0/data-analysis-home-cleaning-services

This repository contains the analysis and visualization of data from a home cleaning services dataset. The project provides valuable insights into revenue generation, customer trends, and regional performance, helping businesses make data-driven decisions.

matplotlib numpy pandas

Last synced: 05 Mar 2025

https://github.com/pabs-code/face-detection-using-haar-cascade-classifier

This is a Streamlit-based face detection application that uses the Haar Cascade classifier to detect faces in uploaded images.

face-detection haar-cascade-classifier numpy opencv python streamlit

Last synced: 08 Apr 2026

https://github.com/vyjayanthipolapragada/image_classifier_model_hotdog

Building an Image classifier model to train and test a dataset and classify the given images into hotdog and not-hotdog.

artificial-intelligence dataset image-classification image-processing machine-learning matplotlib neural-networks numpy pandas python pytorch tensor torchvision transfer-learning

Last synced: 08 Apr 2026

https://github.com/danwild/bike-share-prediction

Predict bike sharing time-series with numpy for Deep Learning

artificial-intelligence artificial-neural-networks deep-learning neural-network numpy

Last synced: 16 May 2026

https://github.com/muhkartal/e-forecast

machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.

fastapi joblib matplotlib numpy pandas pydantic pytest sckit-learn seaborn tensorflow tqdm uvicorn xgboost yaml

Last synced: 08 Apr 2026

https://github.com/adnaen/water-quality-analysis

End-to-end Ground Water Quality Prediction app using Streamlit.

classification-model machine-learing matplotlib notebook numpy pandas plotly python sklearn streamlit

Last synced: 30 Dec 2025

https://github.com/vinit-source/csl7382-medical-image-clustering-assignment.py

The IPython notebook contains the questions as well as the related code. Only numpy has been used.

bioimage-analysis kmeans-clustering numpy slic spectral-clustering

Last synced: 22 May 2026

https://github.com/iliailmer/numpy_learn

A small machine learning mock-library written entirely in numpy and shamelessly imitating PyTorch.

deep-learning machine-learning mnist numpy scipy

Last synced: 09 May 2026

https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression

This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.

data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/gitw1n/japandemographicsinsights

JapanDemographicsInsights is an ongoing project aimed at providing comprehensive insights into the demographic trends of Japan. The project is focused on analyzing and visualizing population data, age distribution, migration patterns, birth and death rates, and other related demographic factors that shape the current and future landscape of Japan.

indevelopment jypyternotebook numpy python3 scientific-visualization

Last synced: 11 May 2026

https://github.com/sukanyadutta52/topic_modeling

What are the most pressing concerns regarding ‘Climate Change’ among tweeters according to Topic Modeling?

climate-change gensim matplotlib nltk numpy pandas pyldavis regular-expression spacy

Last synced: 09 Apr 2026

https://github.com/ahmedabdalkreem/covid-19

In this project we build complete project conatin tree part first part build deep leanring model using CNN second part build simple mobile app using Flutter and the last part is to connect mobile app with model using Flask API.

cnn dart deep-learning flask-api flutter matplotlib mobile-app numpy pandas python tensorflow

Last synced: 10 Apr 2026

https://github.com/balajig-24/titanic_data_analysics-

Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/anas436/exploratory-data-analysis-of-cars

Exploratory Data Analysis of Cars in Python

matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/sandy-07/breast-cancer-detection-using-histopathological-images

Using Histopathological images identifying the type of cancer Benign and Malignant tumors.

flask-application html-css numpy pyhton3 tensa tensorflow

Last synced: 11 May 2026

https://github.com/bilalm04/email-spam-classifier

A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification.

api flask jupyter-notebook machine-learning matplotlib nlp numpy pandas python scikit-learn

Last synced: 06 Mar 2026

https://github.com/tabotcharlesbessong/python-errors

This repository will contain all python errors i will encounter in my life as a python plus their solutions

matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/nikkiaung/ml-in-prod

Exploring around with ML/AI tool, implementing mini side projects like classifying fruit type and extracting text in index. 🧑🏻‍🔧

google-cloud image-processing jupyter-notebook matplotlib numpy pandas python

Last synced: 16 Jun 2025

https://github.com/wassimoubaziz/sad-project

This project aims to predict weekly sales for Walmart stores using machine learning algorithms. The dataset contains various features such as store type, size, department, temperature, fuel price, CPI, unemployment rate, and markdowns.

ai artificial-intelligence machine-learning matplotlib numpy oubaziz pandas python sklearn wassim

Last synced: 08 Apr 2026

https://github.com/rosacarla/projetodio_covid19

Projeto desenvolve modelos com Python e Machine Learning para prever a evolução do COVID-19 no Brasil

etl machine-learning numpy pandas python

Last synced: 08 Apr 2026

https://github.com/toddbirchard/crossword-solver

Finds all words in a crossword puzzle along the vertical or horizontal axises.

data-engineering numpy python3

Last synced: 15 May 2026

https://github.com/shdrn2402/budget-analytics

Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.

jupyter-notebook matplotlib numpy pandas python seaborn visualization

Last synced: 08 Apr 2026

https://github.com/xames3/xsnumpy

Basic and bare-bones functionality of NumPy just using pure Python.

numpy numpy-arrays numpy-library python

Last synced: 15 May 2026

https://github.com/amiriiw/speech_recognition

Welcome to the Speech Recognition Project! This project is designed to train a model for recognizing voice commands and using it to control a simple Snake game in real-time. The project involves training a TensorFlow model for speech recognition and integrating it with a Pygame-based game.

key-word-recognition numpy pygame queue random sounddevice speech-recognition tensorflow threading

Last synced: 13 Mar 2025

https://github.com/RedInfinityPro/Python-Finance

Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.

datetime matplotlib numpy pandas random sklearn yfinance

Last synced: 13 Mar 2025

https://github.com/secary/compsci7211

Foundations of Computer Science B

algorithms git numpy pandas shell unix

Last synced: 10 Apr 2026

https://github.com/filipporanza/rc4

A simple RC4 implementation in Python3. Useful for testing and studing RC4 properties

matplotlib numpy python3 rc4 university-project

Last synced: 15 May 2026

https://github.com/ljadhav25/knn-algorithm-data-science-

This repository contains a project demonstrating the implementation and application of the K-Nearest Neighbors (K-NN) algorithm in Data Science. The objective is to provide a comprehensive understanding of the K-NN algorithm, including data preprocessing, model training, evaluation, and visualization of results. This project is ideal for beginners

data-analysis data-science knn-classification machine-learning matplotlib-pyplot numpy pandas-library seaborn

Last synced: 16 Apr 2026

https://github.com/hariprasath-v/advanced_cricket_tournament_simulation

Simulate cricket matches between two teams with this command-line program.

cricket cricketgame cricketsimulation ipython matplotlib numpy pandas python random seaborn

Last synced: 04 Apr 2026

https://github.com/nickklos10/Compressive-Strenght-Prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 12 Mar 2025

https://github.com/tomas542/dl_examples

Examples of Machine Learning, Deep Learning, Natural Language Processing and so on

computer-vision cv deep-learning dl keras machine-learning ml natural-language-processing nlp numpy python pytorch scikit-learn

Last synced: 08 Apr 2026

https://github.com/singhvishal003/stock-price-predict

Stock Price Prediction model using yfinance data .

keras matplotlib numpy pandas yfinance

Last synced: 08 Apr 2026

https://github.com/yalai92/cava_imp_exp_analysis

Analysis, visualization, preprocessing and clustering of global sparkling wine trade (2017–2024) using Python in Colab and ML to reveal trends and country profiles.

clustering colab-notebook data-science data-visualization machine-learning matplotlib numpy pandas preprocessing python sklearn tableau-public

Last synced: 25 Jan 2026

https://github.com/mondalbidisha/landmark-recognition

A solution for identifying and recognizing landmarks from images, addressing key challenges and leveraging both algorithmic and human expertise to achieve high accuracy and reliability.

jupyter-notebook kaggle kaggle-datasets numpy pandas python3

Last synced: 08 Apr 2026

https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool

A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.

data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter

Last synced: 15 Apr 2026

https://github.com/gmork2/covid-19

A mathematical analysis of the infection growth

coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn

Last synced: 08 Apr 2026

https://github.com/beolawork-art/novabank-churn-analysis

NovaBank has noticed that customers are closing accounts or going inactive, and they want to understand why.

data-analysis data-science-projects data-visualization eda machine-learning numpy pandas python scikit-learn sql

Last synced: 08 Apr 2026

https://github.com/lorenzorottigni/ml-lending-club

Machine Learning python bootcamp: random forest classifier on LendingClub dataset

ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/danieljvickers/fluid_simulation

An educational example for learning the Navier-Stoke equations. Also included is a C++ and CUDA shared object library, buildable with CMake, for use in your personal projects.

cpp cuda differential-equations navier-stokes numpy physics python simulation

Last synced: 04 May 2026

https://github.com/tsungtsetu122/patternanalysis-gnn-node-classification

This project implements a Mixed Graph Neural Network (GNN) for semi-supervised multi-class node classification using the Facebook Large Page-Page Network Dataset. The goal of the project is to predict the class of each node (page) based on 128-dimensional feature vectors and the graph structure connecting the nodes.

evaluation-metrics gnn matplotlib networkx numpy optimization pandas python pytorch-geometric

Last synced: 03 Mar 2025

https://github.com/j-nobull/noble_ana-500

Apply Advbanced Python programming to data science problems

dash machine-learning-algorithms neural-network numpy pandas plotly scikit-learn tensorflow

Last synced: 03 Mar 2025

https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction

A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.

deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit

Last synced: 08 Apr 2026