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/theankurgoswami/study-notes
Notes of topics I study.😛
deep-learning-book linear-algebra numpy opencv pandas regular-expressions sql tensorflow
Last synced: 09 Apr 2026
https://github.com/xenia101/local-outlier-factor
Deriving the Local Outlier Factor Score
algorithm algorithms classification local-outlier local-outlier-factor lof machine-learning numpy pandas python python3 sklearn sklearn-library
Last synced: 09 Apr 2026
https://github.com/rickymagner/nonlinear-gradient-descent
An example of using gradient descent to approximate noisy data sampled from a cubic curve.
matlab matplotlib numpy octave pandas python
Last synced: 09 Apr 2026
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
Last synced: 09 Apr 2026
https://github.com/bhargav-joshi/img-caption-generator
Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.
flask jupyter-notebook keras machine-learning nlp nltk numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/aymen016/film-recommendation-engine
A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.
flask numpy pandas pickle python scikit-learn streamlit
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https://github.com/aakashks/ct-reconstruction-2d
Python Implementation of Computed Tomography (CT) reconstruction for 2D images
computed-tomography ct-reconstruction numpy
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https://github.com/vedanty3/heart-disease-prediction
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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/khaymanii/wine-quality-prediction-model
This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm
matplotlib numpy pandas python sckit-learn
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Python data analyze and machine learning tool
gtk machine-learning numpy pandas python sklearn
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https://github.com/dwarkadhish2005/house-price-predictor
Applied neural network for machine learning and done many analysis of data
keras matplotlib numpy pandas python seaborn sklearn
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https://github.com/affan-ch/gesture-talk-ai
GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.
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https://github.com/paulo-santos-ds/desenvolvimento_pocos_petroleo
Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.
math matplotlib-pyplot numpy pandas python3 sklearn
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https://github.com/cchandre/vm15d
Hamiltonian fluid reduction of the 1.5D Vlasov-Maxwell equations
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https://github.com/amanpatel-1234/automatic_data_analyzer_app
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app data-science data-visualization matplotlib-pyplot numpy pandas python3 seaborn seaborn-plots streamlit
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https://github.com/c0sogi/python-dcm
A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.
automotive dcm ecu-calibration etas inca numpy pandas python
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https://github.com/bhavik-jikadara/house-price-prediction
House Price Prediction
data-science dataprocessing eda jupyter-notebook machine-learning matplotlib model numpy pandas python seaborn test-train-dataset
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Tools for single node generation adequacy analysis
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https://github.com/prathameshdhande22/data-visualization-tutorial
Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial
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https://github.com/neerajcodes888/diwali-sales-analysis
An open-source repository for sales data analysis. Dive into insightful trends, metrics, and visualizations to empower data-driven decision-making. Ideal for data analysts, business professionals, and enthusiasts seeking comprehensive sales insights. Clone, customize, and contribute to enhance your sales analytics journey.
data-science-projects data-visualization numpy pandas-dataframe python3 sales-analysis seaborn-plots
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https://github.com/py-mp3/boston-comparing-regression-modules
A ipynb file that compares different regression modules in the sk.learnit library.
ipython-notebook numpy pandas python regression-models seaborn sklearn
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A repository Python programming language, covering fundamental concepts, advanced topics, and practical applications for beginners.
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Digit Recognizer 91.4% accuracy
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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
Last synced: 13 Apr 2026
https://github.com/xushiyan/udacity-machine-learning
Content for Udacity's Machine Learning curriculum
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https://github.com/dudynets/numerical-methods-labs-tkinter
Labs for Numerical Methods course at Ivan Franko Lviv National University.
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Statistical Analysis in Data Science
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Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.
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https://github.com/achalesh27022003/python-assignments-iwt
This repository is objected to have all the assignments and project related to IWT (Semester - 3).
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https://github.com/varun-khorgade/churnshield-customer-retention-predictor
Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.
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https://github.com/prabath1998/rice_leaf_disease_ditection_system
This project is a Paddy Crop Disease Detection System that uses machine learning to identify diseases in paddy (rice) leaves. Farmers can upload an image of a paddy leaf, and the system will predict whether the leaf is healthy or affected by a specific disease
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Emotion detection from social media texts using machine learning algorithms.
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This project analyzes online food ordering behavior to uncover key insights on customer preferences, restaurant performance, and factors influencing order volume. Through data-driven analysis, it aims to help optimize pricing, delivery times, and customer experience for food delivery platforms and restaurants.
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https://github.com/tritonix711/digitvision-number-predictor
"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.
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https://github.com/abhijeet107/electric-vehicle-sales-by-state-in-india
This project analyzes EV sales data across Indian states, focusing on sales distribution by vehicle type, category, and region.
matplotlib numpy pandas powerbi python seborn
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https://github.com/singh-dhruv/traffic-light-detection-and-recognition
Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.
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image-processing matplotlib numpy opencv opencv-python
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https://www.kaggle.com/datasets/bhadramohit/customer-shopping-latest-trends-dataset
data-science data-visualization jupiter-notebook numpy python sales shopping squarify statistics
Last synced: 05 May 2026
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causality-analysis datamining networkx notebook numpy outlier-detection python
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Uber data analysis involves studying trip trends, peak hours, popular locations, fare patterns, and visualizing insights using Python.
jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 15 Apr 2026
https://github.com/myounus-codes/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression
In this project I have cleaned the data for the model. Project Google Colab Link: https://colab.research.google.com/drive/1vQY-XEFJSdEkW2PQOSf1j13Yk8L-XXNw?usp=sharing
algorithms data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
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Basic recommendation system using Python & Sklearn
numpy pandas python recommendation-system sklearn
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https://github.com/tom-mohr/clevertable
Consistent, intelligent transformation of text-based tabular data into numerical data.
conversion data-science numpy pandas python
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https://github.com/bhavyemathur/redstone-ml
High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust
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https://github.com/arjunan-k/netflix_analysis
Exploratory Data Analysis on Netflix Movies & TV Shows.
matplotlib numpy pandas plotly seaborn
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This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.
anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn
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https://github.com/lolosoares/dataanalises
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heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm
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https://github.com/jayanthsd2003/ams-attendance_management_system
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Online Passive Aggressive Binary Classifier
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gui numpy opencv opencv-python python python3 tkinter tkinter-gui tkinter-python
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https://github.com/prithivsakthiur/qwen-image-edit-2509-loras-fast
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aoti diffusers diffusion-models flash-attention-3 huggingface-spaces huggingface-transformers kernel numpy peft python pytorch qwen-image-edit qwen-image-edit-2509 qwen2-5-vl qwen3-vl torch torchvision
Last synced: 03 May 2026
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.
ann classification cnn computer-vision deep-learning flask keras machine-learning matplotlib neural-network numpy oops opencv pandas python3 tensorflow
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Introduction to Neural Networks (Create a neural network using Numpy)
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artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
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