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/yappy2000d/pps-ndarray
Multi-dimensional array implementation
Last synced: 18 Jan 2026
https://github.com/03-bunny-06/japan-heart-attack-analysis
This project analyzes heart attack data in Japan, focusing on gender-based differences in risk factors such as smoking, diabetes, alcohol consumption, and regional variations. The dataset is cleaned and processed using Pandas and NumPy, extracting insights on affected individuals based on lifestyle and health conditions.
data-cleaning dataframes numpy pandas python risk-analysis
Last synced: 20 Apr 2026
https://github.com/dmarks84/coursework_project_image-text-recognition
Project for University of Michigan Python Programming Specialization -- Read in documents with images and text, and utilized CV libraries/packages to extract specific types of images and text, pairing them together
classification computer-vision image-classification numpy pandas programming python text-classification
Last synced: 14 Apr 2026
https://github.com/sohitbennett/roadsafe
A Deep learning computer vision system for real-time traffic safety monitoring.
computer-vision esrgan keras numpy pandas python scikit-learn tensorflow tesseract-ocr yolov5 yolov8
Last synced: 08 Apr 2026
https://github.com/shoaib1522/introduction-to-data-science
Unlock the world of data science with hands-on tutorials, interactive notebooks, and essential resources! Whether you're a beginner or looking to refine your skills, this repo offers a comprehensive guide to mastering Python, Git, NumPy, Pandas, and more—empowering you to analyze, visualize, and transform data like a pro! 🚀📊💻
confusion-matrix github-config kaggle matplotlib numpy pandas python3 script visualization
Last synced: 14 Apr 2026
https://github.com/cinnaavox/loan-prediction
Machine Learning project predicting loan approvals using Decision Tree Classification. Includes data cleaning, feature engineering, model evaluation and key business insights.
decision-trees matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/rscr1/summer_practice_mai_2
Решение всех заданий летней практики
matplotlib numpy pandas python scipy sympy
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https://github.com/sabdikay/analysis-of-biodiversity
This project analyzes biodiversity data from the National Parks Service, focusing on species in various park locations. Conducted in Jupyter Notebook, it uses pandas, matplotlib, NumPy, seaborn, and chi2_contingency for analysis and visualization.
data-analysis data-analysis-python data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 14 Apr 2026
https://github.com/paulokarabyna/ml-foundations-day1
🔧 Set up a Python environment and practice linear algebra with NumPy while plotting vectors and reflections in this Day 1 ML foundations starter repository.
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy terminal-mac tutorial visualization
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https://github.com/chandkund/housing-price-prediction
Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics
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https://github.com/yaswanth1702/python
matplotlib numpy pandas python scipy
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https://github.com/ljadhav25/false-alarm-detection
The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
flask flask-api logestic-regression numpy pandas pkl pycharm-ide python
Last synced: 19 Jan 2026
https://github.com/saylie/cat-dog-classifier-
The Cat-Dog Classifier is a deep learning-based image classification project that can differentiate between images of cats and dogs. It uses a Convolutional Neural Network (CNN) model trained on labeled datasets to predict whether a given image belongs to a cat or a dog.
ai javascript keras numpy opencv python react tensorflow
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https://github.com/fairlytales/machine_learning
Workbooks for machine learning and neural network courses, textbooks, etc.
jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy opencv opencv-python pandas python pytorch scikit-learn scipy
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https://github.com/sweta2501/ml
Consist of ML projects based on Python along with DataSheets
machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model
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IMT01306601-A Machine Learning
ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/soumyapro/parkinson-disease-prediction
This project predicts Parkinson's disease using machine learning models.
logistic-regression numpy pandas scikit-learn svc xgboost
Last synced: 19 Jan 2026
https://github.com/sudarshanc00/smishing
This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.
nltk numpy pandas python scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/chaakshay/heartdrive
A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.
csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit
Last synced: 05 Apr 2026
https://github.com/dhruvrajsinhzala24/house-price-predictor-ml-model
A machine learning project to predict house prices using linear regression and random forest models. The project leverages housing data to train and evaluate models, comparing their performance using metrics like MSE and R². Visualizes actual vs. predicted prices to assess model accuracy.
linear-regression machine-learning matplotlib ml numpy pandas python random-forest-regression sklearn
Last synced: 14 Apr 2026
https://github.com/mr-chang95/udacity-starbucks-challenge
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
data data-science data-visualization numpy pandas sklearn
Last synced: 14 Apr 2026
https://github.com/dwija12903/ai-lab
A collection of practical implementations from my AI Labs course
keras numpy sckit-learn tensorflow
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https://github.com/jeffson-dsilva/smartphone-price-prediction
Smartphone Price Prediction is a machine learning project that predicts the price category of a smartphone based on its features. This project provides insights into how various specifications, such as RAM, battery capacity, and processor speed, influence the pricing of smartphones.
dataanalysis machine-learning matplotlib modelbuilding numpy pandas price-prediction python seaborn smartphone
Last synced: 14 Apr 2026
https://github.com/jonad/quora_w2v
In-domain word embedding using Quora dataset.
gensim-word2vec matplotlib numpy pandas python3
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https://github.com/angelarreola/ai_notes
Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.
ai matplotlib numpy pandas phaserjs python scikit-learn
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https://github.com/chandkund/sms-spam-detection
The goal is to develop a classification model that can accurately differentiate between spam and non-spam messages. This is crucial for applications like email filtering, SMS spam detection, and improving overall user experience by reducing the influx of unwanted or malicious content.
matplotlib nlp-machine-learning numpy pandas seaborn stemming tfidf-vectorizer tokenization
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https://github.com/achronus/data-graphing-tool
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https://github.com/szymon-budziak/real_estate_house_prices_prediction
Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.
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https://github.com/polyee99/kaggle-titanic-data-analytics
Jupiter notebook to predict the outcome of passengers who died or not in the tragical Titanic event.
data eda jupiter-notebook matplotlib numpy pandas python regression-analysis test-train-split visualization
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https://github.com/hansalemaos/cirdhighspeedcoverter
High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.
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https://github.com/grand-27-master/fingers-tap
A real-time multi-finger tap detection system
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https://github.com/ananupam/eda-titanic
An Exploratory Data Analysis project done on Titanic Dataset.
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https://github.com/5hraddha/ice-video-games-sales-analysis
Analysis of video game sales data of an online store Ice, which sells video games all over the world & identify patterns that determine whether a game succeeds or not.
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https://github.com/ljubogdan/solar-cycle-lstm
This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.
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https://github.com/anish37860/python_party
Python summer party by Interview Master & in partnership with DataCamp
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https://github.com/karthik9273/revolutionizing-gold-rate-forecasting-for-small-businesses-with-machine-learning
The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.
data-science google-colab-notebook jupyter-notebook machine-learning matplotlib numpy pandas-dataframe python seaborn sklearn
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https://github.com/al-ghaly/stock-market-simulation
Simulate and visualize stock market behavior
matplotlib numpy python python-visualization
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"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."
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https://github.com/neelays/xor-xnor_neural_network
NumPy neural network to approximate XOR/XNOR
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https://github.com/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
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https://github.com/icepanorama/internship-visualizations-and-demonstrations
A collection of some of the programs that I've written over the course of my internship.
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Numba-accelerated minimization of objective functions.
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https://github.com/shuyib/pimadlkeras
Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn
Last synced: 15 Mar 2026
https://github.com/mlicamele/neural-network
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gradient-descent matrix-computations neural-networks numpy python
Last synced: 12 Apr 2026
https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing
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https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis
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https://github.com/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
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https://github.com/apbetioli/neural-network
A simple neural network implementation
machine-learning neural-network numpy python3
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https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
Last synced: 28 Jan 2026
https://github.com/hafaio/homeotopy
A python library for computing homeomorphisms between some common continuous spaces
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https://github.com/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
Last synced: 06 Feb 2026
https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
numpy plotly python scikit-learn scipy streamlit
Last synced: 28 Jan 2026
https://github.com/asut00/Machine-Learning-Program_42AI
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 27 Oct 2025
https://github.com/harmanveer2546/heart
Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)
data-preprocessing decision-tree eda knn logistic-regression machine-learning numpy pandas random-forest roc-auc-curve svc
Last synced: 03 May 2026
https://github.com/sahraiidle/email-spam-detector
Email/SMS spam detector with a Flask UI/API, tuned ML models (TF‑IDF + SVM/LogReg/NB), and a ready-to-run web form plus JSON endpoint for predictions.
data machine-learning numpy pandas python randomforest scikit-learn spam-classifier spam-detection svm
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https://github.com/slovnicki/matematicki-softver
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ipython jupyter latex markdown mathplotlib numpy pandas scikit sympy
Last synced: 15 Apr 2026
https://github.com/jaybfn/single-molecule-electrophysiology-data-analysis
Pynanopore serves as a sophisticated toolkit for analyzing single molecules, designed to interpret complex states within nanopore data automatically.
docker numpy pandas plotly pytest python3 streamlit streamlit-webapp
Last synced: 28 Jan 2026
https://github.com/guy1998/synthetic-data-generator-for-event-cameras
Automated workflow for the generation of synthetic data that can be used as an input for event cameras based on previously taken videos
computer-vision event-cameras numpy opencv synthetic-data
Last synced: 15 Apr 2026
https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing
Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats
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https://github.com/jaypanchal9/fraud-detection-case-study
A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost
Last synced: 15 Apr 2026
https://github.com/muhkartal/fr-photo
face-recognition system works on images first of all you need to register valid image as recognition
face-recognition numpy opencv pillow python streamlit
Last synced: 15 Apr 2026
https://github.com/stavrosarm/mathematics_algorithms
Fundamental algorithms of Linear Algebra , Numerical Analysis and Calculus in Python and Julia.
calculus julia-language linear-algebra numerical-analysis numpy python
Last synced: 30 Jan 2026
https://github.com/thkox/uni_2023-compression-and-object-removal
This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus
Last synced: 07 Feb 2026
https://github.com/manu-karenite/medical-insurance-cost-predictor
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kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn
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https://github.com/olfabelhadj/analyse-des-ventes-d-une-librairie-avec-python
OpenClassrooms parcours Data Analyst Projet 9
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https://github.com/sarmad426/ai
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ai data-science deep-learning hugging-face machine-learning numpy pandas python scikit-learn
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https://github.com/farha-dahman/investigate_dataset
Investigate [No-show appointments] Dataset
data-analyst jupyter-notebook matplotlib numpy pandas python
Last synced: 15 Apr 2026
https://github.com/codehub001/age-and-gender-detection
This AI-powered project detects faces and predicts age & gender from images or video streams using OpenCV and deep learning. 🧠💡 🔹 Face Detection 👀 🔹 Gender Classification 🏷️ (Male/Female) 🔹 Age Estimation 📊 (from predefined age groups) 🔹 Live Video & Image Support 🎥🖼️
argparse deep-learning numpy opencv pretrained-model python
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https://github.com/dhruvv1402/document-scanner-python-opencv
Transform smartphone photos into scanned documents in seconds! This Python-based document scanner automatically detects edges, corrects perspective, and enhances document images to produce clean, scanner-like results.
canny-edge-detection contour-detection imutils numpy opencv python scikitlearn-machine-learning warpperspective
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https://github.com/chandkund/sentiment-analysis-on-movie-reviews
Project on Sentiment Analysis of Movie Reviews using K-means clustering. This project clusters movie reviews based on their sentiment scores to understand audience reactions. Includes data preprocessing, feature selection, model development, and visualization.
data-science eda jupyter-notebook machine-learning matplotlib numpy pandas preprocessing python sklearn
Last synced: 01 Feb 2026
https://github.com/tanzim-prog/sentiment_analysis_ml_stringdata
The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.
accuracy-score classification confusion-matrix f1-score logistic-regression machine-learning model-evaluation modelbuilding nlp nltk numpy pandas precision-score recall-score scikit-learn sentiment-analysis
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https://github.com/hygull/pyrandocs
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base64 beautifulsoup class exception-handling hashlib json jwt-authentication loops matplotlib nltk numpy pandas python2 python27 python3 requests searching time-complexity urllib urllib2
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jupyter-notebook keras matplotlib nltk numpy pandas scikit-learn spacy tensorflow
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Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.
bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 01 Jun 2026
https://github.com/linggarm/evolutionary-algorithms
Collection of codes of Evolutionary Algorithms college course (Knapsack Problem & Travelling Salesman Problem)
ant-colony-optimization evolution-strategies evolutionary-algorithms evolutionary-programming genetic-algorithms genetic-programming knapsack-problem matplotlib numpy particle-swarm-optimization python travelling-salesman-problem
Last synced: 15 Apr 2026
https://github.com/r-papso/pynet
Deep learning library implemented in Python
deep-learning machine-learning neural-network numpy python
Last synced: 26 Feb 2026
https://github.com/coueghlani/nlp
Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos
mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy
Last synced: 08 Feb 2026
https://github.com/codealphaprojects/spotify-music-recommender
CodeAlpha Machine Learning Task-1
jupyter-notebook machine-learning matplotlib numpy pandas pycharm-ide python scikit-learn spotify spotify-api streamlit vscode
Last synced: 09 Feb 2026
https://github.com/mahmud-kandawala/simulating-covid-19-python-
This repository contains a Python program that simulates the spread of COVID-19 using Numpy and Matplotlib for calculations and visualization. The simulation offers an interactive way to understand virus dynamics and the impact of epidemiological parameters.
Last synced: 16 Apr 2026
https://github.com/mariam-zaidi/bike-sharing-prediction-model
Build a multiple linear regression model for the prediction of demand for shared bikes.
linear-regression matplotlib numpy pandas rfe seaborn sklearn
Last synced: 09 Feb 2026
https://github.com/baschin1103/neural-network-building-in-python
In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.
bias building-ai forward-pass functioning identity linear-combinations neural-network numpy python regression relu
Last synced: 16 Apr 2026
https://github.com/foggysmile/ml_labs_itmo
Лабораторные работы по машинному обучению
bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost
Last synced: 11 Feb 2026
https://github.com/puureya2/catalogue-price-scraper
Scrape & store product prices with Selenium & BeautifulSoup4. Visually represent data with MatPlotLib,Personal Project
beatifulsoup4 chrome-webdriver matplotlib numpy pandas python python-csv selenium webscraping
Last synced: 16 Apr 2026
https://github.com/anuraganalog/random-test-case-generator
Generate Random Test Cases
arrays case characters file generation generator hacktoberfest hacktoberfest2020 matrices numbers numpy py python3 random random-test-case string test test-cases
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https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/adriantomin/heart-disease-prediction
Predicting Heart Disease with ML 🏥🤖 Machine learning model to predict heart disease using clinical data. Includes data analysis, feature engineering, and model training.
machine-learning matplotlib numpy pandas python sklearn
Last synced: 12 Feb 2026
https://github.com/tzepart/choosing-oil-region
Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.
matplotlib ml numpy pandas seaborn sklearn
Last synced: 16 Apr 2026
https://github.com/haimgoldfisher/data_sience_intro_final_project
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bayes classification decision-trees diamond kaggle knn-classification linear-regression logistic-regression numpy pandas regression scikitlearn-machine-learning sklearn wine
Last synced: 16 Apr 2026
https://github.com/islamshahil/neuralnetworks
Hello World to Neural Network.
deeplearning neural-network numpy python
Last synced: 16 Apr 2026
https://github.com/codersales/machine-learning-project
Machine Learning Project
code data-science filtered-4 jupyter last-quarter machine-learning not-this-month numpy over-100-commits pandas pseudo-current python repository-6 scikit-learn sub-critical supervised supervised-learning
Last synced: 02 Mar 2026
