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/hinanohart/dostosim
Dostoevskian agent-based simulation: seven literary archetypes as a unified reward decomposition. Anti-optimisation, dignity-as-utility, ideological cascade, gambler-ruin β pre-registered H1-H4 with bootstrap CI / BH-FDR / Cliff's delta.
abm agent-based-modeling behavioral-economics bootstrap-ci computational-social-science dostoevsky literature networkx numpy python reproducible-research
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https://github.com/shlokarora2709/data-science
classification clustering data-science machine-learning matplotlib numpy pandas regression sklearn
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https://github.com/brendandasilva/applieddatascience
4 projects from Applied Data Science
data-science numpy pandas python
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https://github.com/saptarshi11/diamlp---diabetes-classification-with-multilayer-perceptron
Diabetes Classification using Multilayer Perceptron (MLP) is a binary classification problem where the goal is to predict whether a patient has diabetes (positive class) or not (negative class) based on a set of biomedical features or risk factors.
artificial-neural-networks binaryclassification machine-learning mlp-classifier numpy seaborn
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https://github.com/moonmoonsamal/data-driven-google-ads-for-listing-sites-analysis
Analyzed Google Ads performance to identify top channels, keywords, and geographical impact
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https://github.com/filipporanza/signal_lib
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https://github.com/tdeepa20/heart-disease-prediction-using-ml
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https://github.com/dwade-eng/amazon-product-recommender-prototype-
This project is a content-based product recommendation engine inspired by Amazon's "Customers who viewed this item also viewed" feature. It uses a dataset of product metadata and user interactions to suggest similar items based on product titles, brands, and categories using TF-IDF vectorization and cosine similarity.
html numpy pandas python3 scikit-learn
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https://github.com/anshpg/popularity-based-book-recommendation-system
I developed a popularity-based book recommendation system using Google Colab, leveraging libraries like pandas, numpy, and matplotlib. The dataset was obtained from Kaggle.com, consisting of three CSV files: books.csv, ratings.csv, and users.csv.
collab csv kaggle-dataset matplotlib-pyplot numpy pandas python
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https://github.com/robinhosz/traffic-data-analyzer
This repository presents a project for urban traffic signal optimization using Reinforcement Learning (RL) to improve traffic flow, increase safety at intersections, and promote energy efficiency in cities. Using the "Traffic Volume Counts" dataset from Kaggle.
data-analysis-python kaggle-dataset numpy pandas python traffic-analysis
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https://github.com/manalisbhavsar/stock-price-prediction
Stock Price Prediction model using Machine Learning and LSTM to forecast future stock prices based on historical data. Achieved a low error rate of 3.2% by leveraging moving averages and deep learning techniques, ensuring accurate predictions.
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https://github.com/khalidkhankakar/numpy-for-data-science
Exploring the full Numpy library for DS
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https://github.com/mahmood-anaam/wheeled-robot-simulation
A Python simulation of a robot equipped with four Swedish wheels, focusing on accurately modeling its kinematics and dynamics to analyze specific motion scenarios.
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https://github.com/fimbres/numpy-start
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https://github.com/kacemmathlouthi/deep-ml-problems
a collection of solved machine learning, linear algebra, and deep learning problems from deep-ml.com
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https://github.com/louis-finegan/least-squares-method-curve-fitting-python3
Applying the Least-Square-Method to Curve-Fit in python using Numpy.
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https://github.com/skypse/santander-coders-data_science-course
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End-to-end Python implementation of Ma et al.'s (2025) matrix-variate diffusion index models for macroeconomic forecasting. Features Ξ±-PCA factor extraction, supervised screening, and ILS estimation for high-dimensional forecasting with preserved structural information.
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Learn data science with python, numpy, pandas from the book "Python Data Science Handbook: Essential Tools for Working with Data"
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https://github.com/djdurga/upi-transactions-eda
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https://github.com/laipching/sprint6_module1
Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.
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https://github.com/x-nimesh/panoramer-dockerized
Panoramer is a cutting-edge panoramic image stitching web application designed to transform your images into stunning, professional-quality panoramas. Whether you're a seasoned photographer or a hobbyist, Panoramer's intuitive interface and precise alignment tools make it easy for users of all skill levels to create seamless panoramas.
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Project consists to analyse a publicly available movie dataset found in https://www.kaggle.com/beyjin/movies-1990-to-2017 and use Python tools like Pandas in order to get some initial insights about the dataset and finally proceeding to clean, transform and save a new version of the dataset in a better structure thinking about storing the data in a database.
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https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
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Sigmanoid function. Written in Python 3.13.1 with matplotlib library and numpy
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https://github.com/priyansusahoo/face_recognition
Major Project: Attendance system project using Face Recognition
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https://github.com/dina-hosny/import-preprocess-and-visualize-a-dataset-project
A simple project to practice importing a dataset, data cleaning and preparation processes, and visualize the results to answer some given questions.
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https://github.com/maguids/supervised-learning---video-games
This project consists on exploratory data analysis and the application of supervised learning models for classification using a Video Games dataset. Second Semester of the First Year of the Bachelor's Degree in Artificial Intelligence and Data Science.
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https://github.com/tapishr/numpy-rnn
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https://github.com/tsar123/coffee-quality-analysis
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https://github.com/blankscreen-exe/triple-trial-card-maker
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https://github.com/fikri-rouzan/student-stress-levels-classification
Proyek pemodelan machine learning untuk mengklasifikasikan tingkat stres mahasiswa berdasarkan parameter input akademik dan psikologis.
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https://github.com/professornova/ann-scratch
This repository implements a simple Artificial Neural Network (ANN) from scratch using only NumPy.
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https://github.com/johassel/feed_forward_neural_network
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https://github.com/ddeepanshu-997/datascience-e-commerce-shopping-details-
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cleaning-data data data-science data-visualization dataframe datapreprocessing dataset libraries matplotlib-pyplot numpy pandas plots python visualization
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https://github.com/darinochka/course_python_iad
ΠΠ\Π‘Π΅ΠΌΠΈΠ½Π°ΡΡ ΠΌΠ°ΠΉΠ½ΠΎΡΠ° "ΠΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ "
machine-learning numpy pandas python3
Last synced: 30 Apr 2026
https://github.com/alphan26/airbnb-data-visualization
I've used the airbnb new york dataset from kaggle to make a comprehensive data visualization using pandas, seaborn, matplotlib.
machine-learning matplotlib numpy pandas python seaborn
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https://github.com/ola-kaznowska/summer-programming-camp-gp-travel-2024
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https://github.com/johnrobertsantos/exploratory-data-analysis-using-python
This project represents the culmination of my Python learning journey.
jupyter matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/mogankumar/bird-flock-simulation-with-pyspark
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argparse matplotlib numpy pyspark python3
Last synced: 01 May 2026
https://github.com/tom-uchida/datascience_handbook
Python private lesson
data-science matplotlib numpy python
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https://github.com/macnianios/fandango
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https://github.com/splithor1zon/edu-barriermethodlp
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https://github.com/sandip2512/play-store-app-review-analysis
EDA on Play Store apps and user sentiment reviews
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https://github.com/avinashkr-ai/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
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https://github.com/satyamtripathi8/tools_for_data_science
Introduction to Data Science Tools(Python)
data-analysis-python matplotlib-pyplot numpy pandas
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https://github.com/lmlk-seal/arrowshelf
A lightning-fast, zero-copy, cross-process data store for Python using Apache Arrow.
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https://github.com/dhruvv1402/spam-detection-python-
This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf
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https://github.com/abideen-olawuwo/pyspark-prediction
pyspark prediction
linear-regression numpy pandas pyspark
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https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024
This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas
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https://github.com/burakahmet/handwriting-digit-recognition
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artificial-intelligence artificial-neural-networks cnn colab-notebook convolutional-neural-networks data-augmentation handwritten-digit-recognition image-processing keras mnist model numpy pillow python tensorflow tensorflow-examples tensorflow-models tkinter tkinter-canvas tkinter-graphic-interface
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https://github.com/adirbella37/safety-analytics-project
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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
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https://github.com/sandyg6/breast-cancer-classification
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https://github.com/fwcd/minq
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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 .
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https://github.com/ompreetham/signs-of-ageing
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https://github.com/ahmedabdalkreem/diabetes
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https://github.com/mike014/chatbot_app
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https://github.com/ibrahimhabibeg/multimedia-project
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https://github.com/Kikobuf/3d-file-toolkit
Pure-Python toolkit for inspecting, editing, converting, and analyzing 3D print files, supports 3MF, STL, OBJ, PLY, and GLB. Detects source software (Bambu, Orca, Prusa, Cura, Fusion 360, etc.), checks compatibility across 15 CAD and slicer programs, and works with any AI coding agent (Claude, Cursor, ChatGPT, Manus). Zero dependencies beyond numpy
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https://github.com/anathonic/big-data-mining-project
This repository contains the implementation of a machine learning project aimed at predicting movie ratings based on user reviews and tags. The data used for this project comes from the MovieLens dataset, which includes ratings and tags for over 9000 movies collected from 1995 to 2016.
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This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.
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https://github.com/badranalyst/udemy-course-data-analysis-with-pandas-and-visualization-libraries
Explores Udemy course data using NumPy and Pandas for data manipulation. Provides insights into course topics, ratings, and pricing with visualizations created using Matplotlib, Seaborn, and Plotly.
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https://github.com/Akhil-krishnan-r/super_market_analysis
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https://github.com/linsanity03/particle-in-potential-well
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https://github.com/NishuMehta/Netflix-Data-Analytics
Netflix Data: Cleaning, Analysis and Visualization
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https://github.com/aikogamer101/exploratory-data-analysis
Using Python to analyze a beauty product dataset. A complete EDA.
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https://github.com/HarshilChampaneri/Titanic_Survival_Prediction
I have Created a Machine Learning Model based on the Logistic Regression algorithm. This Model is capable of predicting whether the person will survive or not survive based on the given data of that particular person.This Model is highly accurate in predicting the result.
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https://github.com/amardeepsingh-06/smart_attendance_system
The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.
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Unit-aware Python with dimensional analysis support.
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https://github.com/shortthirdman/predictorxvault-cookbook
Master Machine Learning: A Collection of Classification & Regression Algorithms in Action
classification-algorithm jupyter-notebook jupyterlab keras matplotlib numpy pandas python python3 pytorch regression regression-models tensorflow
Last synced: 13 Apr 2026
https://github.com/yasinshafiei/fullyconnected-from-scratch
Fully connected layer from scratch, with training on MNIST dataset
adam-optimizer ai ann artificial artificial-intelligence deep-learning from-scratch mlp neural-network numpy perceptron python
Last synced: 17 May 2026