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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/ot-code/coca-cola-stock-prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost

Last synced: 27 Mar 2025

https://github.com/arkanivasarkar/deep-learning-from-scratch

Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.

activation-functions batchnorm cnn cross-entropy-loss deep-learning dropout feedforward-neural-network neural-network neural-networks-from-scratch numpy oops-in-python optimizer pooling rnn university-assignment

Last synced: 27 Oct 2025

https://github.com/icepanorama/internship-visualizations-and-demonstrations

A collection of some of the programs that I've written over the course of my internship.

artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn

Last synced: 27 Mar 2025

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

Portfolio of numpy, pandas, and matplotlib solutions

matplotlib numpy pandas

Last synced: 21 Mar 2025

https://github.com/rahul-404/full_stack_data_science_masters

Welcome to the repository for the course "Full Stack Data Science Masters". This repository is designed to accompany the course and provide resources, exercises, and projects related to the study of data science techniques.

computer-vision data-science database deep-learning exploratory-data-analysis flask machine-learning natural-language-processing numpy pandas python statistics time-series visualization

Last synced: 27 Mar 2025

https://github.com/asuquoaa/applied_data_science_with_python_study

Notes, codes and practicals on the Applied Data Science with Python specialization by UM

matplotlib numpy pandas seaborn

Last synced: 17 Jun 2025

https://github.com/offthetab/nn_homework

Практические работы по нейронным сетям МИРЭА 3 курс.

gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision

Last synced: 09 Sep 2025

https://github.com/abhishekpsonawane07/loan-repayment-prediction-ml

Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.

artificial-neural-networks confusion-matrix decision-trees gradio-interface k-nearest-neighbours loan-dataset loan-prediction-analysis loan-repayment logistic-regression numpy pandas python random-forest sckiit-learn seaborn support-vector-machines

Last synced: 27 Mar 2025

https://github.com/syedzaheerabbas/risk-analytics-with-python

This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

eda hypothesis-testing numpy pandas python risk-analysis seaborn

Last synced: 28 Mar 2025

https://github.com/shreedata/data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

covid-19 data data-cleaning data-visualization datana kaggle-dataset matplotlib numpy pandas-python python3 pythonlibrarires scikit seaborn

Last synced: 28 Mar 2025

https://github.com/mgitrov/ann-from-scratch

An artificial neural network implemented from scratch using numpy only.

artificial-neural-networks deep-learning guide numpy

Last synced: 28 Mar 2025

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

O objetivo é realizar predições em um aplicativo de vendas de carros. A qualidade e velocidade de predições é crucial para o negócio. O projeto utiliza dados históricos, especificações técnicas, versões de acabamento e preços.

lightgbm math matplotlib numpy pandas python time

Last synced: 28 Mar 2025

https://github.com/crispengari/effects-of-covid19-on-trade

This repository visulises the effects of covid19 on trade within these years:

100daysofcode datascience datascience-machinelearning matplotlib matplotlib-pyplot numpy pandas python python3

Last synced: 03 Apr 2025

https://github.com/kunalkumar2001/data-analyst-python-and-its-library

Python (Basics to Advance) and Its Library for Data Analyst

dataanalyst matplotlib numpy pandas python seaborn

Last synced: 28 Mar 2025

https://github.com/josualimbu/face-recognition

Face Recognition with Name, and only need 1 image for 1 person for the dataset to run Face Recognition.

face-detection face-recognition numpy python simple-face-recognition

Last synced: 28 Mar 2025

https://github.com/alphacrypto246/grape-quality-prediction

The Grape Quality Prediction project uses machine learning to predict the quality of grapes based on chemical properties like acidity, sugar content, and alcohol levels. It applies regression models to forecast the quality score, helping in wine production and quality assessment.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 28 Mar 2025

https://github.com/lupin3000/augmentedreality

Introduction into augmented reality (AR) with Python OpenCV ArUco markers.

aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python

Last synced: 28 Mar 2025

https://github.com/stephnna/my_image_classifier

A deep learning-based image classifier built with PyTorch, designed to identify various flower species using architectures like VGG16, ResNet101, and AlexNet. This project leverages transfer learning for improved performance, checkpointing for seamless training, and supports both CPU and GPU devices. Perfect for exploring deep learning models and i

matplotlib numpy python pytorch

Last synced: 28 Mar 2025

https://github.com/alexbie98/bietorch

neural nets with numpy

autograd neural-nets numpy torch

Last synced: 28 Mar 2025

https://github.com/nikhilgugwad/sentiment-analysis

Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.

numpy pandas scikit-learn

Last synced: 28 Mar 2025

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

This repository contains material related to the NumPy Learning.

matrices multidimensional-arrays numpy python

Last synced: 10 Jul 2025

https://github.com/fanisgl/cnn_machine_learning

A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.

data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2

Last synced: 29 Oct 2025

https://github.com/ferkuellar/trading_bot

Este proyecto es un sistema completo de señales de trading en criptomonedas utilizando Binance Spot, Machine Learning y alertas por Telegram. Diseñado para ejecutarse en tiempo real y enviar señales basadas en análisis técnico, VSA y modelos predictivos.

binance imblearn joblib numpy pandas-ta python schedule xgboost

Last synced: 04 Apr 2025

https://github.com/crhistianve/soil-crop-recommendation-models

This repository contains pre-trained machine learning models for crop recommendation based on soil and environmental parameters. The models help predict the best crop to grow based on nitrogen, phosphorus, potassium levels, temperature, humidity, pH, and rainfall data.

agriculture agritech crop-recommendation-system data-science flask flask-application machine-learning numpy pandas python random-forest seaborn soil-analysis xgboost

Last synced: 05 Aug 2025

https://github.com/mituskillologies/dkte-da-mar25

Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.

data-analysis matplotlib numpy pandas python-programming tkinter-python

Last synced: 04 Apr 2025

https://github.com/venkat-0706/titanic-survival-prediction

A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.

classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost

Last synced: 04 Apr 2025

https://github.com/rohanrony19/movie-recommendation-system

This is a python project where using Pandas library we will find correlation and give the best recommendation for movies.

data-analysis deep-learning knn-algorithm numpy pandas python recommendation-system

Last synced: 04 Apr 2025

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: 29 Oct 2025

https://github.com/night-fury-me/deep-learning-fau

A repository that contains implementation of DNN, CNN and RNN from Scracth using numpy only. ResNet implementation using PyTorch

cnn deep-learning dnn machine-learning numpy pytorch rnn

Last synced: 10 Jul 2025

https://github.com/kkKaan/tensor-library-403-hw1

A numpy like library for tensor (gergen) operations.

deep-learning numpy python tensor

Last synced: 09 Sep 2025

https://github.com/natiellitorres/python-data-science-alura

Repositório contendo meus estudos e projetos realizados durante o curso de Python para Data Science da Alura. Inclui notebooks, datasets e análises aplicadas com bibliotecas como Pandas, NumPy, Matplotlib, entre outras.

data-science jupyter-notebook matplotlib numpy pandas python

Last synced: 10 Jul 2025

https://github.com/hac8hi/ppgmonitoring

A PyQt generated app who display PPG signal, heart rate and breath rate

numpy pca ppg ppg-signal principal-component-analysis pyqt5 pyqtgraph scipy signal-analysis signal-processing

Last synced: 29 Oct 2025

https://github.com/hansalemaos/numpy_choices

Some useful np.random functions

choices numpy python random

Last synced: 04 Apr 2025

https://github.com/xdevmy/nlp-resume-classification

The project leveraged advanced NLP techniques to accurately classify resume catehories with high precision and recall. Includes a Streamlit interface for seamless resume uploads and predictions. Built to handle edge cases like invalid inputs and out-of-dataset values.

data-analysis data-science django nlp nlpproject nltk numpy python resume-analysis resume-scoring resumes resumescreening textract wordcloud

Last synced: 04 Apr 2025

https://github.com/debjyotisaha/data-analytics-projects-phase-1

A set of projects on Data Analysis using Python and its libraries

matplotlib numpy pandas python seaborn sklearn streamlit

Last synced: 04 Apr 2025

https://github.com/lemonsoda9013/easy-watermark-tool

A batch image watermarking tool based on Python and Tkinter.

batch-processing gui image-processing numpy pillow python tkinter watermark

Last synced: 29 Oct 2025

https://github.com/ambrish8/bell-s-palsy

BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING

cnn-architecture imagedatagenerator keras numpy opencv python pytorch resnet-50

Last synced: 11 Apr 2025

https://github.com/abdelrahman-lila/seam-carving

Seam Carving for Content Aware Image Resizing Project - Computer Vision Lab

numba-jit numpy python

Last synced: 10 Jul 2025

https://github.com/awanraskall/retail-demand-analysis

Data analysis of retail meal orders, fulfillment centers, and product demand using Python

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

Last synced: 11 Apr 2025

https://github.com/sushant1827/trading_strategies

A collection of Python-based trading strategies designed for backtesting and market insights.

backtesting-trading-strategies matplotlib-pyplot numpy pandas python resampled-data

Last synced: 29 Oct 2025

https://github.com/alphacrypto246/old-car-price-prediction

The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 05 Apr 2025

https://github.com/alphacrypto246/stock-price-movement-prediction

A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.

machine-learning numpy pandas polynomial-regression scikit-learn yfinance

Last synced: 05 Apr 2025

https://github.com/danielpancake/mlml

my little machine learning library written in NumPy

machine-learning numpy

Last synced: 05 Apr 2025

https://github.com/shreeparab1890/indian-cricketer-classifier

This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.

image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit

Last synced: 30 Dec 2025

https://github.com/baschin1103/machine-learning-linear-regression-tsi

The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.

csv linear-regression machine-learning numpy pandas python statistics

Last synced: 05 Apr 2025

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/themihirmathur/machine-failure-predictor

The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.

cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit

Last synced: 30 Dec 2025

https://github.com/rajsinha7/hand-gesture-recognition

This project serves as a foundation for integrating hand gesture controls into interactive applications like games, presentations, or robotic controls. It features: Real-time hand tracking with MediaPipe Hands and Live visualization of hand landmarks and gesture labels

mediapipe numpy opencv python

Last synced: 10 Jul 2025

https://github.com/liviuxyz-ctrl/financialportofoliosimulator

FinancialPortfolio is your financial planning ally, helping you manage portfolios, calculate future values, and visualize performance, all with user-friendly ease🚀

matplotlib numpy python simulation

Last synced: 17 Aug 2025

https://github.com/priyanshubiswas-tech/customer-churn-analysis-eda-

This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.

data-analysis data-visualization dataset explo exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas-dataframe python seaborn seaborn-python

Last synced: 12 Apr 2025

https://github.com/vyjayanthipolapragada/marketing_statistical_analysis

Statistical analysis of customer data and their impact on the sales of products based on marketing campaigns

customer-data data-analysis dataframes marketing matplotlib numpy pandas python seaborn statistical-analysis

Last synced: 10 Jul 2025

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 30 Dec 2025

https://github.com/dmdlgg/calculadora_de_indicadores_estatisticos

Uma calculadora que retorna a média, mediana, desvio padrão, quartis e variância dos dados inseridos pelo usuário. Tecnologias utilizadas: Flet, Python e Numpy. (Ainda em andamento)

flet numpy pyhton

Last synced: 12 Apr 2025

https://github.com/alexquar/whatisthatdog

Mobile App built using react-native that will send api requests for classifying dog breeds to a flask api server containing a custom built CNN made with pytorch trained on the Stanford dog dataset. To take a look at some examples checkout some images from my portfolio linked here.

aws ec2 expo flask gunicorn matplotlib-pyplot numpy pandas pytorch react-native seaborn typescript

Last synced: 30 Dec 2025

https://github.com/csirmaz/openscad-py

Python OOP precompiler for OpenSCAD's language

3d-models 3d-printing cad numpy openscad python

Last synced: 12 Apr 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: 12 Jun 2025

https://github.com/vipinchaudhary31122002/cardiopredict

CardioPredict is a smart, ML-powered application that helps analyze your risk of heart disease using interactive forms, clinical features, and trained classification models.

machine-learning matplotlib numpy pandas python3 random-forest seaborn streamlit

Last synced: 12 Apr 2025

https://github.com/chandkund/customer-segmentation-using-k-means-clustering

Implemented K-Means Clustering to segment customers based on purchasing behavior, enabling targeted marketing strategies. Analyzed data, optimized clusters using the Elbow Method, and derived insights to enhance customer engagement and retention.

data-science kmeans-clustering machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 30 Dec 2025

https://github.com/ledsouza/medphys-bi

Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA

aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml

Last synced: 30 Dec 2025

https://github.com/jancervenka/genalg

Solver for traveling salesman problem

genetic-algorithm numpy python

Last synced: 12 Apr 2025

https://github.com/sothulthorn/stock-prediction-portal

The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.

axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance

Last synced: 30 Dec 2025

https://github.com/shreeparab1890/laptop-price-predictor

This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.

machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn

Last synced: 30 Dec 2025

https://github.com/mkdirer/depression-data-analysis

This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.

classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization

Last synced: 12 Apr 2025

https://github.com/ishtufinquant/portfolio-optimizer

Optimizes stock portfolios using simulation and real-world constraints (SLSQP).

backtesting finance numpy pandas portfolio-optimization python quant scipy yfinance

Last synced: 17 Jun 2025

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 865 awesome-ebooks 106 awesome-mojo-max-mlir 181 awesome-jax 133 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
Blogs 329 Libraries 226 ⚡ Productivity 100 🐍 Python 89 Exercises 87 Models and Projects 74 🧠 AI Applications & Platforms 71 📚 Skill Development & Career 66 Tutorials and Blog Posts 57 📦 Additional Python Libraries 49 🤖 Machine Learning & AI 49 ☁️ Cloud Platforms & Infrastructure 44 📋 Cheatsheets 44 🗃️ SQL & Databases 42 📝 More Awesome Lists 40 📊 Data Visualization 38 📈 Dashboards & BI 36 Videos 34 🎲 Statistics & Probability 34 More Projects 31