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/mariacarolinass/analise-de-dados
Iniciando com NumPy e Matplotlib
matplotlib matplotlib-pyplot numpy numpy-exercises
Last synced: 23 Apr 2026
https://github.com/ahmad-ali-rafique/numpy-mastery-notebook
Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python
Last synced: 24 Apr 2026
https://github.com/abhinav330/iris-dataset-classic-ml-problem
This repository demonstrates the classification of Iris flowers into three species (Setosa, Versicolor, Virginica) using a Support Vector Machine (SVM) classifier.
classification data-science iris-dataset jupyter machine-learning numpy pandas python sklearn support-vector-machines svm-classifier
Last synced: 06 Jun 2026
https://github.com/theroyakash/shallow_neural_network
Design of an one hidden layer neural network using numpy only,
neural-networks numpy shallow-neural-network
Last synced: 24 Apr 2026
https://github.com/dataspieler12345/user_journey_analysis_project
User Journey Analysis in Python Project Create your own functions and tools to analyze user journey strings in Python.
Last synced: 24 Apr 2026
https://github.com/haranrk/linear-regression
Implemented Linear Regression and some of it's variants
machine-learning matplotlib numpy python python3
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https://github.com/redinfinitypro/pygamecicruit
Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.
matplotlib numpy os pygame pyspice random sys
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https://github.com/pawpaw2022/proj03-math-painting
An app that lets the user provide the start coordinates of geometrical shapes such as squares and rectangles, their dimensions, and their colors, and the program produces an image file canvas with all the geometrical shapes drawn in it. (Click the link below to see the demo)
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https://github.com/rubyyy1118/share-price-analysis
The assignment in my MSc Business Analytics course
data-analysis data-preprocessing data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 10 Apr 2026
https://github.com/nightmachinery/mlp_from_scratch
A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.
deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy
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https://github.com/nickklos10/compressive-strenght-prediction
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jupyter-notebook keras matplotlib numpy pandas python scikit-learn
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https://github.com/hariprasath-v/hackerearth_transunion-data-science-analytics-hiring-challenge_2022
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SpamShield
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https://github.com/kunalshelke90/wine-quality-testing
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Daily logs of my progress and mini-projects made over the course of this challenge
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A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.
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Convert a video file or camera captured to display as text.
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lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost
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Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.
car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn
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In this project work to extraction feature from shapes to be input of machine learning model.
chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model
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https://github.com/ravi-aratchige/spacefarer
What type of astronaut would you be?
astronaut astronauts flask jupyter jupyter-notebook machine-learning numpy pandas python scikit-learn space tailwind tailwindcss
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https://github.com/als8446/tripleten-data-science-projects
Projects Overview Projects made in the Data Scientist course from TripleTen LatAm
data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn
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Classify documents using custom naïve bayes model
matplotlib nlp nltk numpy pandas python sklearn
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Machine Learning python bootcamp: Support Vector Machines on iris flower dataset
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https://github.com/gaball1/alzheimer-prediction-ai
Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .
ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier
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https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis
This project aims to analyze the differences in hippocampus size between two groups: "Unaffect" and "Affected" using pandas, numpy and matplotlib
jypyternotebook matplotlib numpy pandas pyreadr seaborn statsmodels
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https://github.com/bharath-tars/deeptumor
DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature
keras machine-learning numpy pandas pyhton tensorflow webdevelopment
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https://github.com/theanujsinha01/seoul-bike-sharing-demand-prediction
This project predicts the demand for bike-sharing services in Seoul using machine learning algorithms. It utilizes historical data and environmental factors to provide accurate predictions that can aid in resource optimization and planning.
data-cleaning data-science exploratory-data-analysis feature-engineering jupyter-notebook machine-learning matplotlib model numpy pandas seaborn
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https://github.com/sarincr/training-on-artificial-intelligence
Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training
artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn
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https://github.com/adi3042/credit-card-fault-detection
🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech
classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv
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Provides colour names and HTML/RGB mappings in various output formats.
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https://github.com/abideen-olawuwo/converted-logistic-regression
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https://github.com/alyssonmach/machine-learning-com-python
Aplicações de Machine Learning usando a linguagem de programação Python.
ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy
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deep-learning image-processing neural-style-transfer numpy opencv-python post-processing tensorflow transfer-learning vgg19
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https://github.com/allanotieno254/pneumonia-xray-classification
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https://github.com/rooneyrulz/cat-dog-classifier
Building a model using a convolutional neural network that well-classifying custom cat vs dog image data. including visualizations, data-preprocessing, future predictions, model-evaluation, identifying overfitting, and more.
artificial-intelligence convolutional-neural-networks data-preprocessing data-visualizations deep-learning keras matplotlib numpy pandas predictive-modeling python3 seaborn tensorflow2
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https://github.com/sgb31/csv-retrival-based-rag
Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.
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Machine learning approach for house price prediction using tensorflow.
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🔨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library
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FIFA20
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https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset
Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.
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Solving interesting python exercises on different topics
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https://github.com/snigdho8869/clustering-projects
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https://github.com/aniruddhakhedkar/eda_for_chinese_automotive_company_teclov_chinese
Exploratory_Data_Analysis_Python_Project_1
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
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