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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
data-encoding data-preparation data-preprocessing data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python sklearn-library train-test-split train-test-using-sklearn
Last synced: 14 Apr 2026
https://github.com/vedanty3/heart-disease-prediction
This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)
confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery
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https://github.com/qua77i20/ai2
A simple single-layer neural network (perceptron) built in Python. Demonstrates backpropagation training from scratch for beginners.
ai backpropagation data-science deep-learning machine-learning neural-network numpy perceptron python
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https://github.com/briankopp/fewerbytes
compress numpy arrays. binary and numeric techniques for numpy compression
compress compression numpy python python3 storage
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https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis
This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
box-plot correlation data-distribution data-transformation exploratory-data-analysis heatmap histplot iqr-method log-transformation matplotlib numpy outlier-detection outlier-handling pandas percentile-method python scatter-plot scipy seaborn z-score-method
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https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app
This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.
bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss
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https://github.com/peterfication/num-peek
A CLI tool to peek into *.npy files
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https://github.com/salmandeveloperz/student-performance-prediction-and-grade-classification
A Machine Learning Project that predicts student grade and performance from a Dataset. Copule of Libraries are used for data pre-processing, training model, heatmaps, trees and other Algorithms.
ann classification machine-learning metplotlib numpy pandas regression-models skilearn supervised-learning tensorflow unsupervised-learning
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https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning
Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
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Control your PC's mouse by just looking at the screen!
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https://github.com/lostvikx/data-analysis-py
Notes & Code following Python for Data Analysis textbook
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The Voice Cloner is a Python-based project that leverages Tacotron 2 and WaveGlow models for text-to-speech (TTS) synthesis and basic voice cloning. This project supports 22 official Indian languages, including Sanskrit, making it versatile for multilingual text input.
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Attendance Management System using Face Recognition
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Notes of topics I study.๐
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Minimally cache python function outputs on disk!
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https://github.com/nikhilroxtomar/introduction-to-numpy
A list of jupyter notebook explaining the various functions and properties of Numpy.
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Nik's Cellular Automata Projects
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Exploratory Data Analysis on Netflix Movies & TV Shows.
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This notebook tries to predict Ahmedabad's weather using historical trends
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a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.
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Inverse Kinematics implementation in Python and PyGame
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https://github.com/yanboishere/Trade.with-SuperTrend.parameter
OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.๏ฝๅฏนไบcryptoไบคๆๅฏนไธญ TraderViewไธญ็่ถ ็บง่ถๅฟๅๆฐ ๅบ็ฐไปฅๅๆถๅคฑไธ้็บฟๆไธ้็บฟๅๅ่ฟ็จ่ฟ่ก็กฎ่ฎค ไป่ๆ นๆฎ่ฏฅๅๆฐๆๆ ็ๅบ็ฐ ่ฟ่กๅคๆฌกๅ็บฆๅๅค&ๅ็ฉบ ๅผไปไนฐๅ ๏ผไฝฟ็จOKX api๏ผ
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The fundamentals of Python NumPy Library.
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A regression curve fitted on some points and implemented from scratch using python.
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https://github.com/suraj-sedai/lstm-deep-learning
A step-by-step guide to mastering sequence prediction using TensorFlow and LSTM. This repository covers everything from basic linear predictions to advanced multi-step forecasting, many-to-many LSTM models, and real-world applications like stock price forecasting and sales prediction.
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Last synced: 11 Apr 2026
https://github.com/msthamizh/singapore-resale-flat-prices-predicting
Developing a Streamlit application that allows users to interactively predict the resale prices of flats in Singapore using machine learning. The application supports regression tasks, enabling users to input various features, such as location, flat type, floor area, and lease start date, and receive predictions for resale prices.
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Last synced: 09 Apr 2026
https://github.com/RedInfinityPro/Laser-Strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
math numpy pygame random sys time
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https://github.com/nirmalyabag20/book-recommended-system
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https://github.com/dragonscypher/tryspec
A VTO
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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/zionc27/computational-art-with-genetic-algorithm
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https://github.com/xushiyan/udacity-machine-learning
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jupyter-notebook machine-learning numpy pandas python reinforcement-learning scikit-learn supervised-learning udacity-machine-learning unsupervised-learning
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https://github.com/hokagem/damagedlogginganalyzer
A project about an analyzation of a statistic of damaged logging (wood) in Germany using Python.
analysis csv csv-parser k-fold-cross-validation numpy pandas pandas-dataframe pandas-python polynomial-regression scikit-learn statistics wood
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https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression
The ultimate business objective is to leverage the regression model to provide accurate predictions of the closing price of AMRN stock, enabling stakeholders to make well-informed investment decisions, manage risks effectively, optimize portfolios, Early warning systems to alert any fraud cases and align investment strategies with financial goals.
datapreprocessing eda hypothesis-testing machine-learning numpy pandas python random-forest regression regression-analysis statistics
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https://github.com/camilajaviera91/clustering-first-approach
This code will help to understand, in a simple way, how the clustering model works. To achieve this, we will input certain variables (strings and integers), then plot them to visualize and analyze how the values are positioned.
array cluster clustering dictionaries matplotlib numpy pandas python
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https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
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https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
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https://github.com/uhstray-io/pyrizon
Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python
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Data analysis ( ๐ ๐ ๐ )
analayze matplotlib numpy pandas python scikit-learn
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Linear Algebra course - Final Project
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Permutation without repetition - written in Cython - for Numpy
cython data-science no-repetitions numpy pandas permutations
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้ๅไบคๆ็ฌ่ฎฐ
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Build a model that can predict customers' Long Term Value (LTV).
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This repository is part of my 365 Days Challenge: AI ร Machine learning, where I combine my passion for Machine Learning ๐ค to learn, build, and document projects every single day for one year.
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Pythonๅฎ็ฐ็ฅ็ป็ฝ็ป
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30-day challenge to master data analysis by completing daily projects. Each project covers a key concept, from data cleaning to visualization, and builds a strong portfolio of real-world applications.
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https://github.com/ashishtukaral/sign-language-recognition-using-ai
A real-time Sign Language Recognition system using AI to translate hand signs into text and speech, enhancing communication for individuals with hearing impairments. This web application leverages neural networks and computer vision to provide accurate and accessible translation.
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https://github.com/sureshbeekhani/machine-learning-algorithms
A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.
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A NumPy dtype extension used in Zero Knowlege libraries
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https://github.com/vijaykumar1303/facial-emotion-recognition-system
Facial_Emotion_Recognition_System
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