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/erikaax08/numerical_methods
This repository hosts the project developed for the Numerical Methods class at the Benemérita Universidad Autónoma de Puebla (BUAP)
django maths matplotlib numerical-methods numpy plotly
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https://github.com/shshojaei/python-tutorial
Python tutorials
jupyter-notebook matplotlib numpy pandas programming-t python python-tutorial scipy seaborn tutorial
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https://github.com/harmanveer-2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics data-analysis datatime film-industry graphs matplotlib movie-database numpy pandas python scraping-websites seaborn visualization web-scraping-python
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https://github.com/paulinhok14/csgo-datascience-project
📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.
matplotlib mlflow numpy python scikit-learn scipy seaborn
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https://github.com/redinfinitypro/ai_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
newspaper nltk numpy python random sklearn string warnings
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https://github.com/memgonzales/order-brushing-shopee2020
Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection
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https://github.com/omarnahhass/crypto-cast
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https://github.com/pramodyasahan/custom-image-classification-model
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https://github.com/tahir1072a/titanic-veri-analizi
Kaggle Titanic veri seti kullanılarak NumPy ve Pandas ile yapılan veri analizi projesi.
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https://github.com/elmezianech/email-spam-ham-classifier-lr
Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.
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https://github.com/sagravela/plotground
Plotting Tool with Matplotlib and Tkinter. Video Demo:
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https://github.com/chubi-x/sort-it-image-classifier
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https://github.com/bishopce16/movies-etl
The goal of this project was to create an automated pipeline for a company Amazing Prime that is hosting a hackathon.
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Presentation about k-Means for Seoul AI Meetup on July 22, 2017.
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https://github.com/urvee1810/bitcoin-price-forecasting-using-arma
The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.
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A loan prediction modes
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https://github.com/offthetab/statistics_homework
Практические работы по статистике МИРЭА 3 курс.
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I want to document in this repository all my studying data science topics
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https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties
Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.
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Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.
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https://github.com/abhijeet107/household-transactions-analysis-report
This project analyzes household financial transactions spanning from 2015 to 2018, focusing on income, expenses, net savings, and spending patterns across categories and modes of payment.
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https://github.com/ksganni/diabetes-prediction-using-machine-learning
🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.
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https://github.com/sarmad426/python
Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.
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In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.
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Machine Learning Notes with tools like Numpy, Pandas, Scikit-Learn.
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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/rtmigo/skifts_py
Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy
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https://github.com/ompreetham/signs-of-ageing
Verzeo's Major Project - Signs of Ageing
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https://github.com/yash-rewalia/airline-passeneger-recommendations-classification
The primary objective is to deploy a robust classifier model that accurately predicts user recommendations, empowering airlines to strategize effectively, understand user behavior, optimize services, and align business strategies with financial objectives.
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https://github.com/labex-labs/quick-start-with-numpy
Quick Start with NumPy | This repo collects 15 of programming labs exercises for Quick Start with NumPy. This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
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https://github.com/makiato1999/strokepredict-datascience
McMaster University CSE780 Project
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Machine Learning algorithms and related study notes.
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https://github.com/ahmedabdalkreem/diabetes
Complete project of people that have diabetes and show what features that explain that person be sick.
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https://github.com/mike014/chatbot_app
Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.
deep-learning dialogpt keras-neural-networks keras-tensorflow knn machine-learning-algorithms ml natural-language-processing nlp nltk nltk-python numpy pca python seq2seq tensorflow textpreprocessing tk tokenizer
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https://github.com/adijo/multilayeredperceptron
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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.
decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn
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https://github.com/yukti1sharma/emotion-based-music-recommender
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website A/B test data analysis
data-analysis jupyter-notebook matplotlib numpy pandas python statsmodels
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https://github.com/shortthirdman/predictorxvault-cookbook
Master Machine Learning: A Collection of Classification & Regression Algorithms in Action
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https://github.com/yasinshafiei/fullyconnected-from-scratch
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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
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https://github.com/prateekrajsrivastav/ml-intern-iris-flowers-classification
TASK : 2 Iris Flowers Classification : "Predict the different species of flowers on the length of there petals and sepals only Jupyter notebook code."
machine-learning matplotlib numpy python scikitlearn-machine-learning seaborn
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https://github.com/sweta-kaundilya/911-calls-capstone-project
For this capstone project we will be analyzing some 911 call data from Kaggle.
data data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/jpgiant/training_project
Analyzing whether there is a difference between the average death ages of left handers and right handers using Bayesian Conditional Probability Theorem.
bayesian-statistics data-analysis data-visualization numpy pandas-dataframe python
Last synced: 30 Apr 2026
https://github.com/keyurparalkar/exoplanet-hunting-in-deep-space
The Search for New Earths
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https://github.com/asier-ortiz/apuntes-ia-ds
Materiales y apuntes del curso de IA y Ciencia de Datos
keras matplotlib numpy pandas python sckiit-learn seaborn tensorflow
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https://github.com/elifftosunn/rfm-customers-analysis
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apriori-algorithm association-rules cohort-analysis datetime fpgrowth kmeans-clustering matplotlib-pyplot minmaxscaler numpy pandas python3 rfm rfm-analysis seaborn silhouette-score sklearn tableau
Last synced: 09 Apr 2026
https://github.com/oguzhansarigol/Expected-Goals-xG-Data-Analysis
We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.
data-analysis-python expected-goals numpy pandas-python python
Last synced: 20 Aug 2025
https://github.com/chator3/three-body-problem-simulator
Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭
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https://github.com/saikiran-erukonda/drug-labels-side-effects-analysis--a-ml-approach
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datascience-machinelearning matplotlib-figures numpy pandas python seaborn
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https://github.com/kishankrishna1/spam-classifier
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https://github.com/burakahmet/handwriting-digit-recognition
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https://github.com/genndy007/ad_python_labs
Analysis of Data Laboratory Works of Sikorsky KPI, 3 year 2 semester
jupyter-notebook matplotlib numpy pandas python scipy seaborn sklearn
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https://github.com/coderooz/image_classification_transfer_learning
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https://github.com/rahulchouhan1/car-theft-data-in-india
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https://github.com/pkx8326/blackjack-weighted-random-choices-visualization-with-numpy-and-python
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https://github.com/shubhs27/snap-n-solve
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https://github.com/hannah-aji/predictive-modeling-to-identify-high-risk-areas
Predictive Modeling to Identify High-Risk Areas for Targeted Interventions in Chicago, Illinois
machine-learning matplotlib numpy supervised-learning visualization
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https://github.com/sohamkul16/excel-sheet-comparator-by-python
The Excel Sheet Comparator project is a Python-based application designed to compare two Excel spreadsheets to identify differences between them. These differences are then highlighted in other downloadable .csv format.
Last synced: 17 Jul 2025
https://github.com/msikorski93/linear-regression-from-scratch
Different solutions of linear and polynomial regression made from scratch.
from-scratch linear-regression numpy polynomial-regression tensorflow
Last synced: 08 May 2026
https://github.com/navindafernando/brain-tumor-detection
Brain Tumor Detection using Color Segmentation with KMeans Clustering :warning:
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Last synced: 07 Apr 2026
https://github.com/rubyyy1118/share-price-analysis
The assignment in my MSc Business Analytics course
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Last synced: 10 Apr 2026
https://github.com/vibhore-sagar/stock-movement-analysis-based-on-social-media-sentiment
This project aims to develop a machine learning model that predicts stock movements by analyzing sentiment in social media discussions (Reddit posts).
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Last synced: 09 Apr 2026
https://github.com/mohammadshabazuddin/secure-image-classification---deep-learning-for-image-based-authentication
This project implements a CNN to classify CAPTCHA images. The code preprocesses images, applies Otsu's thresholding, and uses morphological transformations for character separation. The CNN model includes convolutional, batch normalization, dropout, and fully connected layers. Training, validation, and testing are performed on labeled datasets.
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https://github.com/muhammadadilnaeem/kidney-disease-classification-using-mlflow-and-dvc
Kidney disease is a significant health issue worldwide. Early and accurate classification of kidney diseases can help in better treatment planning and patient management. This project focuses on building a robust classification model, ensuring reproducibility and scalability.
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https://github.com/prajakta1321/authencheck
Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media
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https://github.com/kartmaan/fire-simulation
A realistic simulation of fire propagation using thermodynamic and combustion principles, developed in Python with Pygame and NumPy
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kmeans implementation in numpy
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https://github.com/Udacity-MachineLearning-Internship/Support-Vector-Machine
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Last synced: 17 Jul 2025
https://github.com/nickklos10/compressive-strenght-prediction
This project predicts concrete compressive strength using a neural network regression model built with Keras.
jupyter-notebook keras matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
