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/vineet416/chronic-kidney-disease-prediction
This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5
data-visualization data-wrangling exploratory-data-analysis feature-engineering feature-selection hyperparameter-tuning machine-learning matplotlib numpy pandas plotly pre-processing python seaborn sklearn-library statsmodels
Last synced: 14 Apr 2026
https://github.com/rahulvictor12/the-movie-database-data-scrapper
A Python web scraper that collects movie data from The Movie Database (TMDB). It uses `requests`, `BeautifulSoup`, and `pandas` to extract titles, ratings, genres, and cast details from multiple pages. The data is structured into DataFrames and saved as a CSV, perfect for analysis or integration into projects.
beautifulsoup colab-notebook dataframes numpy pandas python requests testing webscraping
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https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
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azure-notebooks colaboratory machine-learning math numpy
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matplotlib numpy pandas python tkinter tkinter-gui
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Image processing and computer graphics SOSE 22
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This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
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https://github.com/mansurpro/digitrecognizer
DigitRecognizer is a simple, handcrafted neural network implemented with NumPy to classify handwritten digits from the MNIST dataset. This project demonstrates the foundational principles of neural networks, including forward propagation, backpropagation, and gradient descent, all built from scratch without relying on deep learning frameworks.
backpropagation custom-dataset data-visualization deep-learning from-scratch gradient-descent handwritten-digit-recognition machine-learning minimal-dependencies mnist neural-network numpy python
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Introduction to numpy and linear algebra
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NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
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Simple but featured image viewer, designed for speed when browsing network drives and on low power computers like Raspberry Pi 2
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https://github.com/beliavsky/array-compiler
Translate Python/NumPy and other array languages to Fortran
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Trabalhos de Cálculo Numérico UFFS 📐📊
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House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.
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Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.
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SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns
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https://github.com/palak-463/tablataalrecognitionsystem
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https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression
Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.
energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn
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Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.
data-analysis data-visualization dataset matplotlib numpy pandas python seaborn
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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
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https://github.com/zafir100100/cancer-stage-prediction
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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).
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https://github.com/ranaessam03/climate-prediction
A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve Bayes, with preprocessing, model evaluation, and custom kNN implementation.
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https://github.com/mohitsai/boston-housing-data-analysis
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data-analysis data-science matplotlib numpy pandas python
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https://github.com/himanshigautam-rgb/python_libraries
This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
matplotlib numpy pandas python3
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https://github.com/chdl17/marvelvsdc
This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.
excel jupyter-notebook numpy pandas python tableau-public
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https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
Last synced: 05 May 2026
https://github.com/voidwalker7/mnist
MNIST Digit Detector Model using only Numpy
from-scratch-in-python mnist numpy python
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https://github.com/abdelrahman-amen/neural_style_transfer
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neuralstyletransfer numpy os python streamlit tensorflow
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https://github.com/dulajkavinda/fashion-classification
👗 classify fashion items using machine learning
added machinelearning matplotlib numpy pandas python scikit
Last synced: 05 May 2026
https://github.com/ayushdutta-ai/face-recognition-model
A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.
face haar-cascade lbph-face-recognizer numpy opencv pillow
Last synced: 05 May 2026
https://github.com/debangshu9183/spam-mail-detection
To detect spam mail
logistic-regression machine-learning numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
data-analysis data-visualization matplotlib-pyplot numpy pandas python
Last synced: 05 May 2026
https://github.com/shahriarha/programming
Python problem solving, HR-30 days of code, DSA, NumPy
algorithms-and-data-structures cpp numpy programming python
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deep-learning neural-network notebook numpy scratch-implementation
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Python Plotting
matplotlib numpy pandas plotting python
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https://github.com/cycle-sync-ai/student-score-analysis
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https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard
Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.
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EDA analysis on apple products.
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This repository contains my personal notes, exercises, and examples for Python
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Web app to predict live probability of win percentage of match
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This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.
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Neural Networks to Predict Stock Prices
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