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/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
Last synced: 10 Apr 2026
https://github.com/paulo-santos-ds/previsao_total_corridas_taxi
Foi desenvolvido um modelo preditivo específico para atrair mais motoristas durante o horário de pico. Prever a quantidade de pedidos de táxi para a próxima hora.
matplotlib-pyplot numpy pandas python seaborn sklearn statsmodels
Last synced: 10 Apr 2026
https://github.com/pramodyasahan/car-safe-predictor
This repository contains a machine learning project that applies the K-Nearest Neighbors (KNN) classification algorithm to predict car safety ratings. The project uses a dataset of cars, with features such as buying price, maintenance cost, number of doors, persons, lug boot size, and safety.
classification k-nearest-neighbours machine-learning numpy pandas scikit-learn
Last synced: 10 Apr 2026
https://github.com/abideen-olawuwo/converted-logistic-regression
Converted Prediction Model
logistic-regression numpy pandas sklearn
Last synced: 10 Apr 2026
https://github.com/amiridk/machinelearning
machine-learning-notes
matplotlib-pyplot numpy pandas pyhton
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https://github.com/psavarmattas/covid19-dashboard
The goal of this project is not to build just another dashboard for Covid 19. But, to focus on collaborative plot ideas, and a mobile friendly UI/UX.
appseed bootstrap covid covid-19 css dashboard django docker html javascript json numpy plotly python travis-ci
Last synced: 10 Apr 2026
https://github.com/ralfkeo/detection-de-faux-billets-avec-python
OpenClassrooms parcours Data Analyst Projet 12
matplotlib-pyplot numpy pandas pickle plotly prediction-model python scipy seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/allanotieno254/pneumonia-xray-classification
This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.
keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp
Last synced: 10 Apr 2026
https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project
This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.
matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 10 Apr 2026
https://github.com/dipto9999/ml_introduction
An Introduction to Machine Learning, primarily using Python scikit-learn library.
data-science decision-trees jupyter-notebook k-means-clustering k-nearest-neighbors linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas principal-component-analysis python random-forest scikit-learn seaborn support-vector-machines
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https://github.com/rokmark0/auto-feature-engineering
🐙 Automated feature engineering toolkit that creates, selects, and transforms features for machine learning on tabular data, boosting model accuracy and speeding workflows.
auto-feature-engineering automl aws-ec2 dask data-science explainable-ml feature-engineering featuretools machine-learning mahinelearning numpy pandas pandas-library python r sagemaker supervised-learning unsupervised-learning
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https://github.com/ai-lenok/moex-analyzer
A simple engine for analyzing Moscow Exchange securities
docker matplotlib numpy pandas python3
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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.
generative-ai llm numpy pandas pydantic python3 sentence-transformers sklearn streamlit transformers
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https://github.com/sarmad426/python
Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.
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https://github.com/cartabinaria/calcolo-numerico
Una raccolta di risorse per l'insegnamento di Calcolo numerico (02023) del Corso di Laurea in Informatica.
course maths numerical-methods numpy scipy uni
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https://github.com/ramarav/house_price_prediction
Machine learning approach for house price prediction using tensorflow.
jupyter-notebook jupyter-notebooks keras keras-models keras-neural-networks keras-tensorflow numpy python python-3 python3 tensorflow
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https://github.com/rlxchap2/crypto-miner
🔨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library
crypto cryptography csv numpy pillow python
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https://github.com/adityakumarda/kmeans-web-analytics
Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.
cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn
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https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis
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matplotlib numpy pandas python scikit-learn
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https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
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https://github.com/smirnovlad/data-science-notebooks
A collection of various data analysis approaches
data-science deep-learning kaggle machine-learning numpy pandas pytorch
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https://github.com/amruta33/heart_disease_prediction
predict whether a person has a heart disease or not.
classification decision-trees gridsearchcv heart-disease hyperparameter-tuning male-female numpy pandas
Last synced: 30 Mar 2025
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.
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/patilsukanya/assignment-3-hypothesis-testing
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alternate-hypothesis annova chi2-contingency contingency-analysis ftest hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas pvalue python scipy significance-testing stats
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https://github.com/jol79/python_exercises
Solving interesting python exercises on different topics
matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn
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Exploratory_Data_Analysis_Python_Project_1
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deep-learning machine-learning numpy nvidia pandas python tensorflow
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https://github.com/sahil210695/gradient-descent
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https://github.com/mogankumar/virtual-mouse
A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and a custom hand tracking module for a touch-free experience.
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https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression
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The Streamlit app analyzes NBA player stats with user-selected filters, offering data download and intercorrelation heatmap.
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adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models
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https://github.com/elon-fask/nlp_num1
Natural Language Processing with Disaster Tweets
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https://github.com/rama1997/lane-line-detection
Uses computer vision to detects lane lines on the road from images/videos using the POV of a driving vehicle
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https://github.com/ahmedabdalkreem/connected_component_labeling
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https://github.com/ahmedabdalkreem/hotel-reservation
Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.
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https://github.com/fedesgh/parkinson_volatility_spread_on_cedears
Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds
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https://github.com/tsungtsetu122/datamining-cifar10-classification
Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.
matplotlib numpy pandas python scikit-learn
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https://github.com/shakebshamsi/youtube-scraping-using-api
Youtube Scraping
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https://github.com/crvargasm/moore-penrose-matrix
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https://github.com/sc0v0ne/ai-discipline-work
AI Discipline Work - Movie recommendation
jupyter-notebook machine-learning numpy pandas python python3
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https://github.com/omarsaad21/rfm-clustering-
A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)
business-solutions data-science eda numpy pandas plotly python sickit-learn streamlit
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https://github.com/paulbrenker/decision-tsp
Scripts from a university data analysis project to approximate the decision tsp problem using heuristics and machine learning
data-science machine-learning numpy poetry python
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https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn
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https://github.com/toluwalase-taiwo/ml-zoomcamp
Machine learning repository
algorithms jupyter-notebook machine-learning matplotlib numpy pandas python3 scikit-learn
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https://github.com/farhad-here/data-visualization-analysis-dva
This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.
altair bokeh data-analysis data-analysis-python io matplotlib numpy pandas plotly python sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/simon2k/ieee-cis-fraud-detection
Can you detect fraud from customer transactions?
customer-transactions fraud-detection fraud-relation machine-learning numpy pandas scikit-learn
Last synced: 11 Apr 2026
https://github.com/pardhuu66/college-id-validator
FastAPI-based offline College ID Validator with Docker support
base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn
Last synced: 11 Apr 2026
https://github.com/georgehanymilad/startups-profit-prediction
Machine Learning Project
anaconda data-science dataanalysis kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 regression seaborn
Last synced: 11 Apr 2026
https://github.com/roluochke/learning-ds-ml
Learning DS and ML
keras matplotlib numpy pandas python seaborn sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/kishanlalchoudhary/te-sem-6
TE SEM 6 Assignments
cpp data-science dsa-cpp matplotlib nltk numpy pandas python salesforce scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/privatepeople/machinelearning-deeplearning
머신러닝과 딥러닝 공부를 위한 저장소
deep-learning deep-neural-networks deeplearning dl machine-learning machinelearning ml numpy pandas python scipy tensorflow
Last synced: 11 Apr 2026
https://github.com/ahmed-maher77/diabetes-prediction-app-using-machine-learning
Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.
ai css data-science gradientboostinclassifier javascript logisticregression machine-learning matplotlib numpy pandas python randomforestclassifier seaborn streamlit supportvectormachine webdevelopment
Last synced: 11 Apr 2026
https://github.com/dmarks84/coursework_project_apache-airflow-kafka-on-toll-booth-data
Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in live toll booth data, wrangles and transformed, and wrote into a SQL database
apache-airflow apache-kafka automation dags data-modeling databases eda elt etl mysql numpy pandas pipelines python sql
Last synced: 11 Apr 2026
https://github.com/alexixrugis/perceptronvisualization
Visualization of training and operation of a perceptron written from scratch in numpy
ai machine-learning numpy python
Last synced: 11 Feb 2026
https://github.com/timothyjan/intro-machine-learning-classifiers
We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.
numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/sign-language
Multi Class Image Classification
convolutional-neural-networks deep-learning keras machine-learning matplotlib neural-network numpy pandas tensorflow
Last synced: 11 Apr 2026
https://github.com/ttwag/p2_gaussian_elimination
A function that encodes the Gaussian Elimination algorithm
algorithm linear-algebra numpy python
Last synced: 29 Apr 2026
https://github.com/iamsaniasingh/heart_disease_prediction
This is my very first machine learning project, where I used a supervised learning algorithm—logistic regression—to predict heart disease. The model was trained and tested entirely on a pre-existing dataset, with no user input involved. The goal was to understand how ML models work and how they can be applied in healthcare predictions.
logistic-regression machine-learning machine-learning-algorithms numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/lucasgleria/seamese-network-algorithm
Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.
google-colab matplotlib numpy pandas python pytorch timm
Last synced: 11 Apr 2026
https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction
With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.
matplotlib numpy pandas plotly python3 scikit-learn xgboost
Last synced: 09 Jun 2026
https://github.com/mrktsm/spam-email-recognizer
Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.
data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model
Last synced: 09 Apr 2026
https://github.com/anas436/python
This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.
jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio
Last synced: 11 Apr 2026
https://github.com/kishanlalchoudhary/be-sem-7
BE SEM 7 Assignments
blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/rodrigojunqueiradev/data-exploration-and-cleaning
Credit Analysis Data: Foundations for Cleaning and Exploration
data-analysis data-engineering data-science data-visualization datascience matplotlib matplotlib-pyplot numpy pandas python python-3 python3
Last synced: 13 Apr 2026
https://github.com/andremenezesds/rossmann_sales_predict
Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
boruta cross-validation data-exploration data-science database flask-application git linux linux-shell machine-learning matplotlib numpy pandas python scipy sklearn xgboost-regression
Last synced: 11 Apr 2026
https://github.com/charles-l/rayboi
a raytracer written in futhark/python
futhark numpy pathtracing python3 raytracing
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https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml
This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/talapanenivarshithchowdary/asteroid-detection-ml
This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.
classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn
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https://github.com/audy21/datacamp
Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.
data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/amanyadav-07/customer-churn-prediction
Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.
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https://github.com/arthurdsant/dataanalysis-agricultural_raw_material
This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. Based on Jupiter Notebook and Python.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 26 Jan 2026
https://github.com/rahatmoktadir03/customer-churn-prediction
A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.
business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model
Last synced: 11 Apr 2026
https://github.com/winterwind/ecg_signal_classification
Two-part project that involves detecting the R-peaks in an ECG signal to extract the individual ECG beats and making a machine learning model to classify them
csv csv-files data-science decision-trees ecg ecg-classification ecg-signal jupyter jupyter-notebook knearest-neighbors knn machine-learning matplotlib matplotlib-pyplot numpy pandas pyplot python random-forest scipy
Last synced: 11 Apr 2026
https://github.com/badranalyst/student-tests-data-analysis-application
Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.
data-analysis data-visualization dataset matplotlib numpy pandas python sklearn
Last synced: 05 May 2026
https://github.com/amanda-ucc/market-tracker
Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.
beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance
Last synced: 11 Apr 2026
https://github.com/bunu23/image-classification
This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.
keras matplotlib numpy pil python tensorflow
Last synced: 11 Apr 2026
https://github.com/erikbrinkman/hilbert-bytes
A python library for converting between d-dimensional points and indices on a hilbert curve
hilbert-curve numba numpy python
Last synced: 08 May 2025
https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing
Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit
hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test
Last synced: 11 Apr 2026
https://github.com/patilsukanya/assignment-07-clustering-q2-crime
Used libraries and functions as follows:
clustering-algorithm dbscan eda groupby-method matplotlib-pyplot numpy pandas python scatter-plot sklearn standard-scaler
Last synced: 11 Apr 2026
https://github.com/emhash/numpy-tutorial
Just simple tasks of practice of NumPy library of python
numpy numpy-library numpy-tutorial python
Last synced: 11 Apr 2026
https://github.com/sufiyan1803/student-result-analysis
This project explores student exam data to find out what affects their scores. It covers everything from cleaning the data to analyzing score distributions, the effects of parental education and marital status, and comparisons by gender and lunch type. It’s a great way to see how different factors influence student performance.
matpolotlib numpy pandas python
Last synced: 03 Feb 2026
https://github.com/alexsolov28/ml_course
Курс "Технология машинного обучения"
colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2025
https://github.com/djdurga/google_play_store_apps_analysis
This data analysis project focuses on exploring and understanding the Google Play Store Apps dataset.
Last synced: 11 Apr 2026
https://github.com/isabelacaldeira/chutelibre
Crashing into code. Here is a physics problem about free fall solved with python!
freefall jupyter-notebook matplotlib numpy physics physics-simulation python3
Last synced: 11 Apr 2026
https://github.com/cfbastarz/jupyternotebooks
A collection of several Jypyter notebooks.
dask matplotlib numpy python xarray xesmf
Last synced: 18 Jan 2026
https://github.com/rggh/satchad
findthatbit.com + findthatbit.info
bitcoin docker fastapi findthatbit huggingface-transformers nginx numpy qdrant qdrant-vector-database sentence-transformers youtube
Last synced: 07 Apr 2026
https://github.com/sofiakhutsieva/analytical_report_for_hr_department
Подготовка аналитического отчета (SQL) (Проект в skillbox), 2020 г.
analytics matplotlib numpy pandas psycopg2 seaborn sqlalchemy
Last synced: 06 May 2026
https://github.com/anubagre/predicting-price-of-pre-owned-cars
This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.
data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/mramshaw/intro-to-ml
Intro to Machine Learning - Pattern Recognition for Fun and Profit
machine-learning matplotlib ml numpy pandas pip pip3 python scikit-learn scipy seaborn seaborn-plots sklearn statsmodels tensorflow weka
Last synced: 11 Apr 2026
https://github.com/sudarshanasrao/ee559-machine_learning-usc
USC graduate level Machine Learning course
cnn keras machine-learning neural-networks numpy python scikit-learn scipy tensorflow
Last synced: 11 Apr 2026
https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle
Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9
classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml
Last synced: 11 Apr 2026