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/chandkund/wine-quality-prediction
This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.
logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier
Last synced: 01 May 2026
https://github.com/chandrasankarsaha-code/customer-churn-prediction
A machine learning project to predict customer churn.
churn-prediction classfication customer machine-learning numpy pandas
Last synced: 05 May 2026
https://github.com/nabilshadman/multiprocessing-time-series-data-simulation
A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples
multiprocessing numpy pandas scipy simulation statistics time-series
Last synced: 05 May 2026
https://github.com/themusharraf/loan-predictor
fastapi jobl ml numpy pandas sckiit-learn
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https://github.com/anushkundu/student-performance-analysis
Exploring Student Performance Factors
classification-algorithm clustering-algorithm data-analysis data-science exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/nitish2773/food-delivery-delay-analyzer
matplotlib-pyplot numpy pandas python3 scipy-stats seaborn
Last synced: 30 May 2026
https://github.com/ifrazaib/pythoncodes
In this repository I have Added my handwritten python codes to master the language and includes all the basic concepts of python.
classes inheritance lists numpy pandas scipy tupels
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https://github.com/shreeparab1890/chat-analyzer
This project is a Data Analysis project to analyze the WhatsApp chats.
data-analysis numpy pandas python
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https://github.com/iv4n-ga6l/GenderDetection
Gender detection using gender classification model
genderclassification genderdetection numpy pil python resnet18 torch torchvision
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https://github.com/thomasa/python-intro
This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy
matplotlib numpy python scipy tutorial
Last synced: 05 May 2026
https://github.com/roaajadaa/car-price-prediction
Use different models to predict car prices using web scraping
beautifulsoup data-visualization loss-functions machine-learning machine-learning-algorithms numpy pandas pickel preprocessing python sklearn
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https://github.com/darkksideyoda/dataminingclass
Data Mining Class 101
artificial-intelligence data-science machine-learning numpy pandas python seaborn
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https://github.com/soumyapro/house-price-prediction
Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.
linear-regression matlplotlib numpy pandas sklearn svm
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https://github.com/sorabh-kapoor/face-recognition-attendance-system
The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.
flask flask-application knn ml numpy opencv pandas python scikit-learn
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https://github.com/sultanazhari/prediction-model-of-customers-leaving
Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.
accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
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Udacity Data Analysis Nano Degree course resources
jupyter-notebook matplotlib numpy pandas python
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💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.
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annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats
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https://github.com/udacity-machinelearning-internship/support-vector-machine
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numpy pandas sklearn support-vector-machines svm
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https://github.com/lohiyah/dataset_summariser
A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).
matplotlib numpy pandas seaborn
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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
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https://github.com/csengupta1101/netflix-rating
The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience
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https://github.com/arjunravi26/selenium
This repository contains code from my learning about Selenium for web scraping and automation.
numpy python selenium time undetected-chrome webdriver
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https://github.com/manojkp08/student-performance-analysis
The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.
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https://github.com/thanhloc81/rfm-model-project
✨ Build a flow to deploy Segmentation evaluation through Python programming.
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https://github.com/allenvox/statistics
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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
Last synced: 15 Apr 2026
https://github.com/leogaudin/python_piscine_for_data_science
42 • Python Piscine for Data Science
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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.
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https://github.com/tapas-gope/diwali-sales-analysis
Analyze Diwali Sales Data to improve customer experience and sales.
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https://github.com/muskan-setiya/spotify-data-analysis
Used Spotify.csv from Kaggle
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https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction
Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)
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https://github.com/hilalozdemirbuyukasik/deep-learning
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bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow
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Performing Exploratory Data analysis for loan application approvals and understanding Risk analytics
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https://github.com/3rd-son/movie-streaming-service-analysis
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https://github.com/mmerlyn/analysis-of-tomato-prices
Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.
css flask html matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/jeslipriya/expense-tracker
This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.
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https://github.com/charlenry/python_math_machine_learning
Mes notebooks de travaux pratiques sur Python, NumPy, SimPy, SciPy, Matplotlib, Plotly, Seaborn et les Mathématiques pour le Machine Learning
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https://github.com/khushi130404/echobot
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https://github.com/winterwind/housingpricesproject
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csv csv-files data-science decision-tree gradient-descent jupyter jupyter-notebook knearest-neighbors knn linear-regression linear-regression-scratch machine-learning matplotlib matplotlib-pyplot numpy pandas python random-forest regression sklearn
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https://github.com/danny-1k/nnpy
Neural network library written from scratch in numpy
deep-learning neural-networks-from-scratch numpy python
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https://github.com/harshs472/real-time-object-detection
Real time object detection that detects approximately 80 objects!!!!
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https://github.com/parthshah02/customer_churn_dashboard
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data-analysis matplotlib numpy pandas python
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https://github.com/lingesh81051/similar-template-document-matching-and-fraud-detection
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numpy opencv opencv-python pillow pymupdf pytesseract pytesseract-ocr python tkinter
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matplotlib numpy python scipy sympy
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lambda-functions numba numpy oop pandas teaching
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Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)
data-analysis data-visualization descriptive-statistics matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
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Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy
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data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter
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https://github.com/dane-meister/neural-network
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activation-functions loss-functions machine-learning neural-network neural-networks neurons numpy python python3
Last synced: 02 Jul 2025
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📈💰 Investment propensity prediction model
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matplotlib numpy pandas python scipy
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https://github.com/adityashinde716/generating-images-with-gan-generative-adversarial-network-
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adam-optimizer batchnormalization binarycrossentropy checkpoint deep-learning deep-learning-algorithms discriminator gan generative-adversarial-network generator glob imageio keras machine-learning matplotlib neural-network numpy os tensorflow
Last synced: 07 Oct 2025
https://github.com/kostadinlambov/time-series-forecasting
This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.
keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow
Last synced: 07 Apr 2026
https://github.com/sadegh15khedry/creditcard-transaction-anomaly-detection-using-isolationforest
detecting fraudulent transactions in credit card data using anomaly detection techniques.
anomaly-detection matplotlib numpy pandas python seaborn sklearn
Last synced: 27 Feb 2025
https://github.com/fayzi-dev/salary_predict_app_by_streamlit
Salary predict App by Streamlit
numpy pandas pypickle streamlit streamlit-webapp
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https://github.com/sujit1011/air-quality-index-prediction
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https://github.com/iadtya/hate-text-classification
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https://github.com/prakshal0809/machine_learning_algorithms
This project showcases basic machine learning programs I developed during my studies, written in Python, intended for educational use or as a foundation for more advanced projects.
machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/mehediehteshum/minesweeper
Building classic 'Minesweeper' game from scratch using Pygame with VS Code.
Last synced: 06 Oct 2025
https://github.com/venkatnvs/deep_learning-nn-python
Deep learning and Neural networks
keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/timothyjan/intro-machine-learning-classifiers
We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.
numpy pandas python scikit-learn
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https://github.com/anselmoo/useful-math-functions
useful-math-functions for Optimization, Benchmarking, Visualizing, and more ...
basic functions math mathematics numpy
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https://github.com/mogankumar/covid-19-classification
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keras-tensorflow matplotlib numpy python3
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basic-python-syntax collections dsa matplotlib numpy oops-in-python pandas python re scipy
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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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https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression
Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.
deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn
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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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jupyter-notebook matplotlib numpy pandas python
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https://github.com/clchinkc/zombie
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https://github.com/niteshchawla/delhivery-featureengineering
The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.
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https://github.com/sejalmankar1012/customer_churn
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https://github.com/Marvin-VW/3dengine_python
3D engine written in Python using OpenCV and NumPy
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https://github.com/hadson0/dip-candy-classification
Candy classification project using digital image processing. Includes dataset creation, model development, and evaluation tools with TensorFlow, OpenCV, and Albumentations. Complete setup and instructions provided for building and training the model.
albumentations bounding-boxes cnn computer-vision cvat image-classification image-processing keras machine-learning matplotlib numpy opencv python seaborn sklearn tensorflow
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https://github.com/yalai92/cava_imp_exp_analysis
Analysis, visualization, preprocessing and clustering of global sparkling wine trade (2017–2024) using Python in Colab and ML to reveal trends and country profiles.
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https://github.com/jovicdev97/Financial-Loan-DataScience-Notebook
using numpy and pandas to analyze a synthetic loan dataset with python
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https://github.com/lexxai/goit_python_ds_hw_02
Модуль 2. Знайомство з Pandas, Аналіз файлів, Аналіз датасет c Kaggle.com. Python Data Science. Homework.
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https://github.com/heyitsjoealongi/fantasy-football-qbwr-model
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https://github.com/quocanh189/sentiment_analysis_eventhub
This project implements a Sentiment Analysis model using a neural network architecture built with Keras. The model classifies text into binary sentiment categories (positive or negative) by leveraging word embeddings and Gated Recurrent Units (GRU) layers. Additionally, the project includes a simple Flask web application to provide a real-time sent
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https://github.com/mateusdigital/ram_it
Ram It is a clone of the nostalgic Atari 2600 game, created by https://mateus.digital
Last synced: 17 Mar 2025