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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/mstrlc/iss-project
FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard
fit iss matplotlib numpy python scipy signal-processing vut
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https://github.com/cyb3r-jak3/docker-alpine-pandas
Python alpine image with pandas, and numpy installed
alpine-image numpy pandas-python python-alpine
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https://github.com/arrnikhilchauhan/book-recommendation
This Book Recommendation System is designed to provide personalized book suggestions based on user ratings and interaction. By leveraging the power of Pandas and NumPy, it filters and processes data efficiently, ensuring that recommendations are relevant and tailored to the user’s preferences
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https://github.com/leogaudin/python_piscine_for_data_science
42 • Python Piscine for Data Science
42 data-science matplotlib numpy oop pandas piscine python
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https://github.com/jacekkala/statistics_hypothesis_testing
Statistics & Hypothesis Testing in Python
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This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
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Used Spotify.csv from Kaggle
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AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%
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amazon-sales
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MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.
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🏏 Python simulation for generating 20K+ unique fantasy cricket teams with probability-based player selection and constraint optimization. Advanced algorithms, data analysis & visualizations included.
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https://github.com/patilsukanya/assignment-06.-logistic-regression
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android-library bachelor-project bachelor-thesis cybersecurity cyface data-visualization hypothesis-testing malware-detection matplotlib network-traffic numpy pandas python scipy sdk statistical-analysis telecommunications voip-security
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Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.
analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics
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🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.
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https://github.com/sudharshan-bathini/chat-bot-using-cornell-movie-data-set
Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.
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This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.
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https://github.com/18mahi/tweet-sentiment-analysis
Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.
data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob
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https://github.com/isratafrin826/linear-regression-model
Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.
googlecolaboratory numpy pandas sklearn
Last synced: 03 May 2026
https://github.com/thejvdev/ml-from-scratch
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classification data-analysis data-mining data-science deep-learning jupyter-notebook machine-learning matplotlib neural-networks numpy pandas prediction python regression seaborn sklearn visualization
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https://github.com/raveenaross/bulldozer-price-prediction
Predicting the sale price of bulldozers using machine learning
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https://github.com/zolppy/recommendation-system
This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.
computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16
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https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 19 Apr 2026
https://github.com/pedasoft-consult/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.
joblib numpy pandas python3 sklearn streamlit
Last synced: 10 Apr 2026
https://github.com/NetBr3ak/Planetary-System-Simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
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https://github.com/ercodex/predicting-new-medicines-with-sgd-classifier
"Shittiest Model of the Competition" award winner!
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https://github.com/miladsade96/scwp
Scientific Computing with Python
graphs linear-algebra linear-equations matrices multidimensional-arrays numerical-computation numpy python python3 scientific-computing scipy sparse-matrices vector
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https://github.com/ben854719/autonomous-health-monitoring-emergency-response
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https://github.com/hiftd22/wpattern
📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.
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https://github.com/manjotkaurgill/agritech
Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.
flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn
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https://github.com/chandkund/stock-price-prediction-
Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.
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https://github.com/greatepee/book-recommendation-system
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https://github.com/harshavardh8n/machine-learning-projects
Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.
apriori-algorithm decision-trees jupyter-notebook machine-learning numpy pandas python
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https://github.com/null-byte-00/fargasht
A simple evolution simulator written in python
ai data-science evolution evolutionary-algorithms machine-learning neural-network numpy pygame
Last synced: 18 Jan 2026
https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers
A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set
geopy keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/lewis-morris/image_augment
Image augmentation for CNN's. Aiming to increase generalization.
augmentation image numpy python
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https://github.com/ahmedabdalkreem/lung-cancer
It help to know the patient have lung cancer or not and show what depenent in this disease that lead to this disease.
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Last synced: 14 Apr 2026
https://github.com/samuelpuerta/modelosiasaberprocolombia
PROYECTO KAGGLE - Crear un modelo para predecir el redimiento de los estudiantes en las pruebas Saber Pro
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Last synced: 06 May 2026
https://github.com/ellennewerkla/eda_students_performance
EDA em Python com Pandas, Matplotlib e Seaborn para identificar padrões de desempenho em estudantes.
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Last synced: 08 May 2026
https://github.com/yappy2000d/pps-ndarray
Multi-dimensional array implementation
Last synced: 18 Jan 2026
https://github.com/faisal-khann/ipl-analysis
The IPL Analysis project is a comprehensive data-driven exploration of the Indian Premier League (IPL), analyzing historical match data to uncover patterns in team performance, player statistics, and match outcomes.
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Last synced: 08 May 2026
https://github.com/armahdavi/analytics_statistics_ml_plotting_dust_extraction_hvac_filters_ph2
PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
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Last synced: 14 Apr 2026
https://github.com/netbr3ak/planetary-system-simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
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Last synced: 14 Apr 2026
https://github.com/bhavnanahar/coral_project
ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.
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Last synced: 14 Apr 2026
https://github.com/winterwind/mlp_and_cnn
A short two-part project involving using an MLP and a CNN for ECG signal data
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https://github.com/gojoel/brockton-data-analysis
Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.
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Last synced: 09 May 2026
https://github.com/arsh-pixel-cmd/ai-image-classifier
AI Image Classifier is a web app that uses AI and deep learning to classify images in real-time. Built with Streamlit, TensorFlow (MobileNetV2), OpenCV, and NumPy, it allows users to upload single or multiple images and get the top-3 predictions with confidence scores instantly in the browser.
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Last synced: 10 Apr 2026