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/lmizner/codecademy_product_defects
Practicing rules of probability, set theory, and distributions
cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats
Last synced: 03 May 2026
https://github.com/coderooz/handwritten_digit_recognition
This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.
colab handwritten-digit-recognition image-classification matplotlib neural-network numpy python tensorflow
Last synced: 03 May 2026
https://github.com/nicolashaubricht/analise-dados-pib-per-capita
Este projeto tem como objetivo a análise de dados sobre as variações do PIB per capita em diversos países ao longo dos anos.
Last synced: 03 May 2026
https://github.com/fnfkkengine/website-performance-data-analysis-project
🌐 Analyze website performance data to gain insights on user engagement, traffic trends, and optimize your digital presence effectively.
analysis analytics dashboard data-analyst data-collection data-preprocessing data-visualization dax funnel-analysis jupyter-notebook matplotlib mysql numpy paid-search power-query project-management python storytelling
Last synced: 04 May 2026
https://github.com/yareva/linear-regression-predictor
Linear Regression Predictor Model
matplotlib numpy pandas python sckit-learn
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https://github.com/bpkaur/whats-in-a-name
Exploring dataset of first names of babies born in the US in order to uncover interesting stories
data-analysis datacamp numpy pandas python3
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https://github.com/dmdlgg/calculadora_de_indicadores_estatisticos
Uma calculadora que retorna a média, mediana, desvio padrão, quartis e variância dos dados inseridos pelo usuário. Tecnologias utilizadas: Flet, Python e Numpy. (Ainda em andamento)
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https://github.com/arsalan692/python-telusko-playlist
A collection of beginner Python scripts and practice exercises from my early learning days, inspired by Telusko and other resources.
basic-programming bs4 matplotlib numpy oop pandas python requests selenium tkinter
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https://github.com/rifkyiqbal52/data-analytics-and-visualization-projects
used cars dataset analysis and visualization
descriptive-statistics inferential-statistics matplotlib numpy pandas python seaborn stats tableau-public
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https://github.com/jonad/titanic_exploratory_analysis
Exploratory Data Analysis on Titanic Dataset
jupyter-notebook numpy pandas python3
Last synced: 04 May 2026
https://github.com/mariiasam/stroke-prediction
A model for predicting the risk of stroke in a patient
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https://github.com/nordic96/lanedetection
Lane Detection Module using OpenCv and Python for educational purpose.
computer-vision lane-detection matplotlib-pyplot numpy opencv python3
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https://github.com/ronitjariwala/-prodigy_ds_01
Prodigy InfoTech Data Science Internship Task-1
matplotlib numpy pandas python seaborn
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https://github.com/rtgrt5645/numpy-lab
🧮 Explore, manipulate, and visualize data with NumPy to enhance your Python skills in scientific computing and data analysis.
array-operations data-analysis data-science jupyter-notebook machine-learning numerical-computing numpy numpy-arrays numpy-library numpy-python python python3 scientific-computing
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https://github.com/powei-lin/least-square-problem-example
Example of solving least square problem with python
autograd least-square-regression least-squares matplotlib numpy python python3 scipy
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https://github.com/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
matplotlib numpy pandas python
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https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
matplotlib numpy pandas seaborn
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Implementation of a multilayer perceptron using Pytorch and Numpy libraries
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https://github.com/adamsochorec/applied-machine-learning
machine-learning numpy pandas python
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https://github.com/badranalyst/residential-unit-prices-data-analysis-application
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
Last synced: 05 May 2026
https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction
Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.
machine-learning matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/13anush/python-libraries-
A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.
data-analysis matplotlib numpy pandas python seaborn
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https://github.com/hitthecodelabs/petalanalyticsstreamlit
Web application developed with Streamlit that predicts the Iris flower type based on its physical features
matplotlib model numpy pickle python scikit-learn sklearn streamlit
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https://github.com/yenk/human-genomic-meta-analysis
Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.
linear-regression machine-learning matplotlib numpy scipy
Last synced: 05 May 2026
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.
decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn
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https://github.com/tapas-gope/diwali-sales-analysis
Analyze Diwali Sales Data to improve customer experience and sales.
exploratory-data-analysis matplotlib-pyplot numpy pandas python seaborn
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https://github.com/anushkundu/crime-pattern-analysis
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
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https://github.com/pyladiesams/python-oss-sprints-mar2024
Sprints to contribute to the most popular data and AI Python OSS libraries
conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn
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This project applies neural style transfer to create new images by merging the content of one image with the artistic style of another.
neuralstyletransfer numpy os python streamlit tensorflow
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https://github.com/nkamilla/titanic-eda
Exploratory Data Analysis of the Titanic dataset using Python (Pandas, NumPy, Matplotlib). Includes data cleaning, visualizations, correlations, and key business insights.
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https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
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https://github.com/chopikus/raytracing-bench
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cupy java numpy pypy python raytracing
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https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc
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https://github.com/redinfinitypro/python-finance
Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.
datetime matplotlib numpy pandas random sklearn yfinance
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This is a Python project that performs tokenization, stop word removal, positional indexing, phrase query searching, term frequency-inverse document frequency (TF-IDF) calculation, cosine similarity computation, and document ranking.
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This repository contains my personal notes, exercises, and examples for Python
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https://github.com/ai-ahmed/bda-and-ds
Dual Course: EMC2 Data Scientist & Big Data Analytics & IBM Professional Data Science Course
analytics big-data data-science jupyter-notebook jupyterlab linear-algebra mathematics matplotlib ml numpy pandas probability seaborn sklearn statistics
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machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models
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https://github.com/abideen-olawuwo/vg_sales
Predicting Games Sales
machine-learning matplotlib numpy pandas seaborn sklearn
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https://github.com/mnitin-reddy/coffee-shop-sales-analytics
This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.
datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/shivangmathur1/simple-qlearning
Solving gym environments using Numpy Qtables and Q-learning
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https://github.com/pereira-elizabeth/aah-2d-hermitian
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https://github.com/reddyprasade/bird-classifications-problem
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https://github.com/momo790-m/startup-profit-prediction
Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data
assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn
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https://github.com/octavioduarte/datascience
A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.
data-science jupyter-notebook numpy pandas
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https://github.com/amiegirl/ford_gobike-tripdata
This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area.
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/rohansoni45/ipl-win-predictor
A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.
classification data-science ipl machine-learning model-evaluation numpy pandas python sklearn sports-analytics
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https://github.com/alz-11/ftoc
Fahrenheit to Celsius conversion analysis, comparing accurate and approximate methods with visualizations and error analysis.
approximation celsius conversion data-visualization error-analysis fahrenheit fahrenheit-to-celsius jupyter jupyter-notebook matplotlib numpy python python-3 python3
Last synced: 08 May 2026
https://github.com/thekartikeyamishra/data-preprocessor
A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset
ipywidgets numpy pandas python scikit-learn
Last synced: 08 May 2026
https://github.com/0290192029/apartment-price-predictor
Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".
apartment-price-prediction apartments-for-rent api correios-api data-analysis feature-engineering feature-enginering linear-regression linear-regression-models mlops numpy prediction-model r seaborn
Last synced: 08 May 2026
https://github.com/cbmira01/featureranking
A data science technique implemented in OpenCL.
data-science entropy feature-reduction machine-learning-algorithms numpy opencl pyopencl python windows-10
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https://github.com/mzayles/analise-descritiva.py
Curso Programação em Python para Data Science | Análise descritiva e mensuramento de dados de um report consolidado utilizando matplotlib.
matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/amiralisajadi/image-classification-neural-network
Custom deep learning model for binary image classification. Entirely built from scratch in Python with NumPy, including all ML functions, activations, and optimizations.
deep-learning image-classification image-classification-model machine-learning neural-networks numpy
Last synced: 08 May 2026
https://github.com/shingiraibhengesa/house-price-predictor
A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
machine-learning-models matplotlib numpy python scikit-learn seaborn
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https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
Last synced: 09 May 2026
https://github.com/dhruvv1402/x-twitter-bot-python
A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.
huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud
Last synced: 09 May 2026
https://github.com/aliyahscoding/tiny-recommender
Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.
collaborative-filtering cosine-similarity numpy pandas python recommender-system
Last synced: 09 May 2026
https://github.com/venkat-0706/titanic-survival-prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost
Last synced: 09 May 2026
https://github.com/shaikats/python-assignment
Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.
jupyter-notebook matplotlib numpy python simulation-modeling
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https://github.com/mairagalvao/final_grades
An analysis of the final grades of students using Python
matplotlib numpy pandas python3
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https://github.com/chuvalniy/tulia
Contains self-implemented Machine Learning algorithms using only numpy.
boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost
Last synced: 09 May 2026
https://github.com/carol-neto/sprint-4-statistical-data-analysis
In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.
matplotlib-pyplot numpy pandas pytho scipy-stats seaborn statistical-analysis
Last synced: 09 May 2026
https://github.com/betiniakarandut/portfolio-project
Sukkar and Cornell Integral Approach to Estimate Static Bottom Hole Pressure(SBHP)
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https://github.com/tim-w-james/python-data-reference-code
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data-science jupyter-lab numpy python
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https://github.com/shibam120302/all_about_python
Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.
numpy numpy-arrays oops-in-python pandas python python-dsa python-library python3 system-design tabula
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https://github.com/florasteve/ml-foundations-day2
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https://github.com/jatin-s16/neuron_from_scratch
Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.
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https://github.com/relostar-devil/census-income-prediction
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matplotlib numpy pandas scikitlearn-machine-learning seaborn
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matplotlib-python numpy pandas seaborn
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numpy optimization optimization-algorithms
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numpy pandas python3 scikit-learn svm-classifier
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https://gitlab.com/DLR-SY/beos
Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.
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This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.
data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn
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Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/ledsouza/medphys-bi
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