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/azaz9026/loan_approval_prediction

Welcome to the Loan Approval Prediction repository! This project aims to build a predictive model that can determine whether a loan application should be approved or denied based on various features. Purpose The goal of this repository is to develop a machine learning model that can accurately predict loan approval decisio

data data-analysis data-visualization eda machine-learning numpy pandas python statistics

Last synced: 06 Apr 2026

https://github.com/vishal-verma-96/Pre-Owned-Car-Price-prediction-using-Streamlit-App

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

Last synced: 02 Mar 2025

https://github.com/ayushtiwari134/stock_price_predictor_dl

This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.

deep-learning eda keras lstm-model machine-learning matplotlib numpy pandas python rnn streamlit tensorflow yfinance-library

Last synced: 06 Apr 2026

https://github.com/amnydv17/audio-analysis-and-classification

This project demonstrates how to analyse the audio datasets and apply the existing Machine learning/Deep Learning techniques to the classify various environmental sounds...

jupyter-notebook matplotlib numpy pandas

Last synced: 08 May 2026

https://github.com/eoastafurov/numpy-neural-net

Simple and extendable library for deep learning in numpy

deep-learning mlp-classifier numpy

Last synced: 02 Mar 2025

https://github.com/sauravokos/deep-learning

Repository on private project concerning Deep Learning through multilevel neural networks

keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface

Last synced: 02 Apr 2026

https://github.com/harinisri012/plant-leaf-disease-detection-system

A deep learning project to detect and classify plant leaf diseases using CNN and VGG16 models. This system aids in early disease identification to support agricultural sustainability by helping farmers protect crops.

cnn cv keras keras-tensorflow neural-networks numpy vgg16

Last synced: 20 Jan 2026

https://github.com/adamouization/superconductors-critical-temperature-predictions-regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy

Last synced: 12 Apr 2026

https://github.com/dilipgjadhav/cs_encryption_decryption_project

🔐 Secure Data Hiding in Images using Steganography | AICTE & IBM SkillsBuild Internship Project. This Python-based tool hides secret messages in images using OpenCV & PyQt6, with password-protected decryption. Secure, user-friendly & efficient for cybersecurity. Future scope: multi-format support, AES encryption & web/mobile integration.

cyrptography data-hiding image-encryption image-processing numpy opencv pyqt5-gui python-project python-security secure-communication steganography

Last synced: 06 May 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/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/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/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/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/hotequil/fish_classification

Identify the fish specie with Machine Learning.

classification fish keras numpy python tensorflow

Last synced: 27 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/rkschroeder/portfolio

This repository contains a data science project.

matplotlib numpy pandas sckit-learn seaborn

Last synced: 17 Feb 2026

https://github.com/winstxnhdw/pyalign

An over-engineered website for aligning multiline strings to a common character with PyScript.

numpy pyscript uv

Last synced: 13 Jun 2025

https://github.com/vipinchaudhary31122002/bytephone

A data science project that explores, visualizes, and models smartphone features from a futuristic 2025 dataset to predict mobile prices using machine learning.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/evernext10/coursera_capstone

This repository is created for sending the IBM Data Science Lab and will be used primarily for the Capstone project.

coursera-data-science ibm numpy pandas

Last synced: 10 May 2026

https://github.com/aysh2603/credit-card-fraud-detection

The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.

ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit

Last synced: 04 Feb 2026

https://github.com/atharvkadammm/suicide-prediction-system

A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.

csv data-analysis data-science data-visualization datamining exploratory-data-analysis feature-engineering machine-learnin matplotlib mental-health numpy pandas riskassesment seaborn sklearn suicide-prediction supervised-

Last synced: 01 Jul 2025

https://github.com/chernyakid/game-success-analysis

Выявление закономерностей успешности компьютерных игр

jupyter numpy pandas python scipy seaborn

Last synced: 07 Apr 2026

https://github.com/fikri-rouzan/energy-consumption-prediction

Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.

jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn

Last synced: 07 Apr 2026

https://github.com/paulo-santos-ds/analise_vendas_supermercado

Este projeto realiza o web scraping de Variação de preços de produtos do supermercado

env numpy pandas scrapy sqlite3 streamlit

Last synced: 29 Apr 2026

https://github.com/debjyotisaha/generative-ai-projects

A set of Generative AI projects which can be shown in your portfolio

chatgpt flask genai langchain nlp numpy pandas python streamlit

Last synced: 07 Apr 2026

https://github.com/al-ghaly/global-warming-analysis

Analyze the effect of global warming on the average temperature of some of USA states.

matplotlib-pyplot numpy python python-visualization

Last synced: 10 May 2026

https://github.com/ahmedabdalkreem/breast-cancer

It help to know the patient have breast cancer or not and show some of diagram analysis data to know what depenent in this disease that lead to this disease.

matplotlib numpy pandas python sklearn-library

Last synced: 07 Apr 2026

https://github.com/fioraz/ml-project

Salary Prediction Using Multiple Machine Learning Approaches

machine-learning ml natural-language-processing numpy pandas prediction pytorch tensorflow

Last synced: 12 Apr 2026

https://github.com/kimi0230/pstocks

Python 爬股市

crawler numpy pandas python python3 stocks

Last synced: 07 Apr 2026

https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots

Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.

eda gradient-boosting individual-conditional-expectation linear-regression matplotlib numpy pandas partial-dependence-plot python seaborn sklearn xgboost

Last synced: 12 Apr 2026

https://github.com/hoyirul/flask-starter

Flask-Starter provides a streamlined foundation for Flask web development, ensuring a quick setup and optimal configuration. Simplify your Flask project initiation with Flask-Starter.

flask numpy pandas python rest-api

Last synced: 07 Apr 2026

https://github.com/Udacity-MachineLearning-Internship/Support-Vector-Machine

Implementing SVM's using pandas and sklearn in python

numpy pandas sklearn support-vector-machines svm

Last synced: 17 Jul 2025

https://github.com/chea-young/financial-statistics-practice-using-python

파이썬을 활용한 금융통계실습 정리 repository (matplotlib, numpy, pandas, seaborn) 😀

matplotlib numpy pandas seaborn yfinance

Last synced: 11 May 2026

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/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/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/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/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/poziloi/-math-

Системы компьютерной математики, задания

jupyter-notebook math matplotlib numpy pandas python scipy seaborn

Last synced: 30 Dec 2025

https://github.com/wondermongering/nonlineardatagen

A flexible Python framework for generating, fitting, and visualizing noisy nonlinear data. Perfect for educational purposes, algorithm testing, and demonstrating statistical concepts. Includes tools for various noise models, custom function fitting, robust error metrics, and publication-quality visualizations

curve-fitting data-simulation data-visualization education educational-tool interpolation mathematical-modelling matplotlib noise-modeling numpy regression-analysis scientific-computing scipy signal-processing statistics teaching-resource time-series-analysis

Last synced: 22 Aug 2025

https://github.com/rajesh9943/developing-a-bike-buyer-sales-report-dashboard-using-excel

This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used to build the dashboard in Google Sheets. There are some NA (Null / Empty) values injected in the dataset. Use this dataset for Data Cleaning, Exploration, and Visualization.

excel google-sheets numpy pandas-library python3

Last synced: 17 May 2026

https://github.com/isa1asn/mnist-neural-net

Applying neural networks on the MNIST dataset (from scratch & using tf)

from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow

Last synced: 12 Apr 2026

https://github.com/nk-works/creditflow-ai

CreditFlow AI predicts loan defaulters using Artificial Neural Networks (ANNs). This model uses historical loan data to predict the likelihood of default for new loan applications.

ai artificial-neural-networks deep-learning jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow

Last synced: 24 Jun 2025

https://github.com/sadegh-khedry/housing-prices-prediction-using-randomforest

This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.

csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn

Last synced: 05 Apr 2026

https://github.com/rafinha0rafinha/web-analyzer-backend

(Legacy) This is the backend for Mazaoro SARLU's lead magnet "Web Analyzer". This project analyzes websites using Google Lighthouse and returns a detailed report consumed by the frontend.

azure-app-service azure-devops chartjs cicd data-analysis data-science data-visualization express flask hacktoberfest lighthouse numpy sentiment-analysis vader-sentiment-analyzer

Last synced: 10 Apr 2026

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

This repository contains material related to the NumPy Learning.

matrices multidimensional-arrays numpy python

Last synced: 18 May 2026

https://github.com/coder5omkar/LendingClubCaseStudy

Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.

bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis

Last synced: 21 Jul 2025

https://github.com/h12m54am/numpy-matplotlib

Best for people who are using it for mathematical and statistical work. Not really a tutorial, but rather a bunch of examples that can help you understand Numpy and Matplotlib

jupyter-notebook learning-by-doing numpy pandas python

Last synced: 18 Apr 2026

https://github.com/neofelis2x/gl3wxpyg

A playground and testing repo to implement OpenGL 3.3 in a WxPython interface using pyglet as an OpenGL-wrapper.

3d-graphics numpy opengl pyglet wxpython

Last synced: 11 May 2026

https://github.com/hansalemaos/colorcountcython

This module provides functionality to count unique colors in an image represented as a NumPy array and, optionally, group their coordinates. It includes a Cython-based implementation for improved performance.

colors colour colours count cv2 numpy

Last synced: 01 May 2026

https://github.com/mayankmittal29/duplifinder-quora-clone-catcher

An advanced system for detecting semantically duplicate question pairs using cutting-edge NLP techniques. Combines traditional ML models (XGBoost, SVM, Random Forest) with deep learning architectures (BiLSTM, Siamese Networks, Transformers) and contextual embeddings (BERT, RoBERTa). Features engineered using token similarity, fuzzy matching, and em

bert bilstm cross-validation eda fastext fuzzy-matching glove numpy pandas python3 quora-question-pairs random-forest roberta seaborn stemming svm tf-idf transformers word2vec xgboost

Last synced: 15 Apr 2026

https://github.com/simon2k/stock-price-prediction-evaluation

This project is indented to present a small evaluation of different types of regression models for predicting stock prices for AAPL.

evaluation machine-learning numpy pandas predicting-stock-prices scikit-learn

Last synced: 07 Apr 2026

https://github.com/dineshdhamodharan24/data_science_final_project

Customer Insights & Recommendation System: Harnessing Decision Tree, Logistic Regression, and Random Forest models for behavior analysis. Utilizing EasyOCR and Python Imaging Library for image information extraction. Employing NLTK for sentiment analysis on textual data

classification final-project guvi-projects image-processing nltk-python numpy ocr pandas recommendation-system sentiment-analysis sklearn-library streamlit text-processing worldcloud

Last synced: 02 May 2026

https://github.com/jcardonamde/food-sales-predictions

A project that seeks to predict the sales of a food distributor by applying machine learning algorithms and data analysis.

data-science machine-learning machine-learning-algorithms numpy pandas pipelines python seaborn sklearn

Last synced: 05 Apr 2026

https://github.com/ramyacp14/sentimentanalysis

Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.

machine-learning natural-language-processing nltk numpy pandas python scikit-learn

Last synced: 07 Apr 2026

https://github.com/myahninsi/credit_card_fraud_detection

This repository is for the Neural Networks and Deep Learning Course - Assignment 1, focusing on credit card fraud detection. The project utilizes a machine learning model to predict whether a transaction is fraudulent using a synthetic credit card dataset.

matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/ireneflorez/sf-kindergarten-lottery

Data analysis reviewing data and findings on the public school kindergarten lottery in San Francisco

ipynb-jupyter-notebook jupyter-notebook numpy pandas python sql

Last synced: 17 Feb 2026

https://github.com/wbadart/simplegcn

Basic implementation of a Graph Convolutional Network

data-science gcn neural-network numpy

Last synced: 18 May 2026

https://github.com/crafterkolyan/eigenvalues-speed-comparison

Сравнение скорости вычисления собственных значений положительно определённых матриц. Проект по спецкурсу "Высокопроизводительные вычисления на платформе Python". Основной результат - Python с JIT компилятором обгоняет нераспараллеленный C++ по скорости.

cpp eigenvalues numba numpy python speed university

Last synced: 10 Jul 2025

https://github.com/pzuehlke/hands-on-numpy

An introduction to NumPy for undergraduate students, focusing on basic linear algebra

linear-algebra numpy numpy-tutorial python scipy

Last synced: 18 Apr 2026

https://github.com/venky-1710/superhero-recruitment

Superhero Recruitment System predicts hero selection using machine learning. Users input hero attributes through a web interface. A Random Forest model analyzes abilities, strengths, weaknesses, success rates, and missions completed. The Flask app displays results, showing if a hero is selected.

css flask html numpy pandas python scikit-learn

Last synced: 07 Apr 2026

https://github.com/yadavkaushal/datascience-e-commerce-shopping-details

This project analyzes customer purchase data including details such as location, company, credit card usage, browser info, job roles and purchase price. It explores patterns in payment methods, spending behavior and online transactions. Using Pandas, Matplotlib and Seaborn, we clean analyze and visualize key trends to derive actionable insights.

data datacleaning dataframe datapreprocessing dataset libraries matplotlib numpy pandas plots visulaization

Last synced: 06 May 2026

https://github.com/tapas-gope/telecommunication-customer-churn

This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.

feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn

Last synced: 12 Sep 2025

https://github.com/samankhamesian/rating-prediction-system

This project is an implementation of simple rating prediction systems for items from user

latent-factor-model machine-learning numpy pattern-recognition python rating-prediction

Last synced: 18 May 2026

https://github.com/amiridk/statics-and-algebra-in-python

simple and important statics operations and Famous statistical problems , also algebra operations

algebra itertools matplotlib numpy pandas python scipy seaborn static

Last synced: 24 Feb 2025

https://github.com/dineshdhamodharan24/singapore_flat_resale_

This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.

data-analysis flat json numpy pandas pickle project python streamlit

Last synced: 07 Apr 2026

https://github.com/vbhvsingh0/cdc_immunization

This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.

data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3

Last synced: 05 May 2026

https://github.com/mituskillologies/aiml-dypiemr-sep24

Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.

artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3

Last synced: 05 Apr 2025

https://github.com/chandkund/predicting-heart-disease

Welcome to the Heart Disease Prediction project! 🩺 This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 18 Jan 2026

https://github.com/aapo-kossi/christmas_tree_spectrogram

Colab notebook to generate a spectrogram visualization on a programmable led installation

colab-notebook numpy pandas python

Last synced: 07 Apr 2026

https://github.com/bbergerud/tenops

Creating a common interface for numpy, pytorch, tensorflow, etc.

numpy pytorch tensorflow

Last synced: 20 Jan 2026

https://github.com/biocpy/mopsy

Matrix operations

matrix numpy scipy

Last synced: 07 Mar 2026