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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/imsalmanmalik/linear-regression-model-airbnb-prices-seattle
Linear Regression Model on Airbnb prices of Seattle using Dash and Python
airbnb choropleth-map dash dataanalysis datacleaning datamanupilation datascience exploratory-data-analysis feature-engineering machine-learning matplotlib normalization numpy onehot-encoding pandas python seaborn-plots sklearn-library trainandtestsets visualization
Last synced: 28 Apr 2026
https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn
Last synced: 03 May 2026
https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening
A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.
aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn
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https://github.com/ikaushikpal/ml_prerequisite
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artificial-intelligence computer-vision convolutional-neural-networks deep-learning deep-neural-networks docker fine-tuning jupyter kaggle kaggle-dataset matplotlib numpy object-detection python single-shot-detector tensorflow tensorflow-object-detection tensorflow-serving transfer-learning
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A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.
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classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn
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https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model
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matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction
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https://github.com/nikorasu/nantarray
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Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
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https://github.com/mayankmittal29/stockvision
Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.
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https://github.com/aarryasutar/credit_eda
This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.
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https://github.com/gokulgowthams/smart-premium
An Interactive Premium Amount Detection for user which accurately predicts the required premium amount for a default loan by using series of questions that satisfies the criteria in Streamlit Application
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https://github.com/SerratoTech/Python3-for-Finance
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https://github.com/abhinav330/data-science-projects
The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.
decision-trees exploratory-data-analysis k-means-clustering k-nearest-neighbours kaggle linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly python random-forest-classifier support-vector-machines
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https://github.com/wkrzywiec/polish-crops
Machine learning project to find out if price of a wheat in Poland depends on a weather.
decision-tree-regression eurostat imgw jupyter-notebook linear-regression machine-learning matplotlib-pyplot numpy pandas pipenv poland polynomial-regression python random-tree regression-models scikit-learn support-vector-regression
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https://github.com/kientech/diabetes-prediction-with-machine-learning
The Diabetes Prediction with Machine Learning project aims to predict the likelihood of an individual developing diabetes based on various health parameters and demographic information.
fastapi machine machine-leaning matplotlib mongodb numpy pandas python reactjs seaborn
Last synced: 20 Jun 2025
https://github.com/mehraaaaa24/stockpriceprediction
A real-time web app that predicts stock prices using an LSTM model, visualizes data with moving averages, and allows user input for stock symbols.
jupyter-notebook keras lstm-neural-networks matplotlib numpy pandas python streamlit tensorflow yfinance
Last synced: 15 Feb 2026
https://github.com/swaathi/cpt-recommendation
Collaborative Filtering using User-Item and Item-Item Models
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https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-
This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state
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https://github.com/ahasannn/real-time-expression-detector
A Real Time Expression Detector using Python and Machine Learning
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Last synced: 07 Apr 2026
https://github.com/drcbeatz/aynm-data
Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)
automation aws-textract csv data-analysis data-cleaning ipynb numpy ocr pandas python reverb selenium shopify webscraping xml
Last synced: 07 Mar 2026
https://github.com/roma-glushko/numpy-katas
🧮 Exercises to sharp scientific computations with Numpy
Last synced: 18 May 2026
https://github.com/imswappy/brain-tumor-detection
🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.
kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model
Last synced: 13 Apr 2026
https://github.com/mgobeaalcoba/matplotlib_y_seaborn
Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.
data-analysis data-science data-visualization dataset matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/abdul-rafay19/cnnect-classifier
A real-time image classification app built with PyTorch and deployed using Streamlit. CNNect-Classifier uses a custom-trained CNN on the CIFAR-10 dataset to predict image classes with confidence scores. Designed to demonstrate end-to-end deep learning deployment — from training to user-facing web app.
ai artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks cifar-10 cifar10 cnn cnn-classification cnn-model cnnect deep-learning machine-learning neural-network neural-networks numpy python pytorch pytorch-cnn streamlit streamlit-webapp
Last synced: 11 Apr 2026
https://github.com/emperoryp7/covid-simulator
Application simulating the spread of COVID-19
covid-19 numpy pandemic-simulator python3 simulator
Last synced: 18 May 2026
https://github.com/steventete/integral-app
IntegralApp is a Python-based GUI application designed to simplify the calculation of definite integrals using numerical methods.
desktop-app numerical-methods numpy pyqt5 python
Last synced: 18 May 2026
https://github.com/olutosinbanjo/direction_field
Plotting a Direction Field with Python (Intel® DevMesh Project)
cloud devcloud dpctl dppy heterogeneous-computing high-performance-computing intel intel-xpu numba numpy python3
Last synced: 04 Apr 2025
https://github.com/pvlbzn/kot-or-not
Logistic regression (shallow neural network) which predicts whether input image is a cat or not.
classification-algorithm image-classification logistic-regression machine-learning neural-network numpy
Last synced: 01 Mar 2025
https://github.com/codewitheshayoutube/corvit_python_data_analytics_course
I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!
matplotlib numpy pandas python python3 scikitlearn-machine-learning seaborn
Last synced: 13 Apr 2026
https://github.com/zion-dev1/e-commerce-analysis
Short machine learning project which analyses customer behaviour 🔎
analysis clustering ecommerce machine-learning numpy pandas sklearn
Last synced: 05 Jul 2025
https://github.com/aahad91/idv
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matplotlib numpy pandas plotly python3
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https://github.com/reusjimenez/data-analysis-labs
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data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy panel python sklearn
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https://github.com/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render
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https://github.com/salmandeveloperz/ml_house_prediction
project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.
classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn
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https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction
An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.
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https://github.com/mchenryspagg/prosper-loan-project
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https://github.com/prashver/customer-segmentation
This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.
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https://github.com/jaypanchal9/spotless-data
Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.
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https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using
The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.
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https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024
The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.
cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister
Last synced: 11 May 2026
https://github.com/geetisha/web-scraping-and-sentiment-analysis
Web Scraping and Sentiment Analysis
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Last synced: 08 Apr 2026
https://github.com/hossein-cod/deep-learning-for-training
Analysi hear disease data set with deep learning
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Last synced: 09 Mar 2026
https://github.com/abhijeet107/electric-vehicle-sales-by-state-in-india
This project analyzes EV sales data across Indian states, focusing on sales distribution by vehicle type, category, and region.
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Last synced: 04 May 2026
https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
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Last synced: 16 Feb 2026
https://github.com/gauravsakure02/python_libraries
Data Analysis using Python libraries
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Last synced: 14 Apr 2026
https://github.com/epsoft/transfer-learning
Transfer Learning
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Last synced: 06 May 2026
https://github.com/arjunan-k/netflix_analysis
Exploratory Data Analysis on Netflix Movies & TV Shows.
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Last synced: 09 May 2026
https://github.com/alicbm/learnlytics-code
Repositorio oficial de LearnLytics, una plataforma de tutoriales sobre análisis de datos, ciencia de datos, programación y economía. Aquí encontrarás los códigos y bases de datos utilizados en nuestros tutoriales, junto con documentación detallada para su implementación. 🚀
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https://github.com/amorehead/ml-fundamentals
A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.
machine-learning numpy pandas python scipy sentdex tensorflow tflearn
Last synced: 13 Apr 2026
https://github.com/islam-hady9/heart-attack-analysis-prediction-using-ann
Heart Attack Analysis & Prediction using Artificial Neural Network
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Last synced: 04 Apr 2026
https://github.com/tawabshakeel/neural-networks-using-keras
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Last synced: 08 Apr 2026
https://github.com/imaginesamurai/advanced-vision-system
A Python-based camera handling utility that provides seamless control over video capture with advanced zoom functionality. Features include adjustable resolution, smooth digital zoom controls, and efficient frame processing, ideal for computer vision applications.
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https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning
This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics
data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn
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https://github.com/lironmiz/machine-learning-specialization-course
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
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Last synced: 03 May 2026
https://github.com/Vice777/SAFE-HEART
Classify the chances of having a Heart Attack based on your Heart's Condition.
kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp
Last synced: 11 Mar 2025
https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
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Last synced: 08 Oct 2025
https://github.com/cesarmartinez7/anchorports
Escaneador de puertos hecho en python con la libreria de nmap-python y Scapy.
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chainer deep-learning numpy python36
Last synced: 01 May 2026
https://github.com/5hraddha/sentiment-analysis
An innovative system for filtering and categorizing movie reviews
countvectorizer dummyclassifier lgbmclassifier logisticregression matplotlib minmaxscaler nltk nltk-stopwords nltk-tokenizer numpy pandas seaborn spacy tfidfvectorizer torch tqdm transformers
Last synced: 18 Jan 2026
https://github.com/rish-16/linearly
Discount NumPu implementation using barebones Linear Algebra concepts
Last synced: 19 May 2026
https://github.com/nazli-d/binary-classification-using-cnn
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow
Last synced: 13 Apr 2026