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/ljadhav25/decision-tree-random-forest-algorithm-data-science-
This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms
data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier
Last synced: 15 Apr 2026
https://github.com/alisonmitchell/titanic
Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.
deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow
Last synced: 14 Apr 2026
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
Last synced: 05 May 2026
https://github.com/ayuub34/siesta-smart
This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.
ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn
Last synced: 25 Feb 2026
https://github.com/venkat-a/python-eda-exploratory-data-analysis-
This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.
descriptive-statistics matplotlib numpy pandas seaborn statistical-analysis visualization
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https://github.com/keyurparalkar/breast-cancer-detection
Predict whether the cancer is benign or malignant
gradient-descent logistic-regression machine-learning numpy
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https://github.com/massimilianovisintainer/diabetics-prediction-model
Machine learning model for diabetes prediction.
machine-learning numpy pandas python sklearn svm-classifier svm-model
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https://github.com/shishirshekhar/penguin_app
This is a penguin species prediction web app
data-science logistic-regression ml numpy pandas python python3 random-forest-classifier streamlit streamlit-application streamlit-webapp support-vector-machine
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https://github.com/arraypd/airflow-etl-elt
airflow duckdb elt etl matplotlib metabase ml numpy pandas postgresql python scikit-learn
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https://github.com/fayzi-dev/salary_predict_app_by_streamlit
Salary predict App by Streamlit
numpy pandas pypickle streamlit streamlit-webapp
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https://github.com/nikhilsree5/netflixcasestudy
Global Content Strategy: Leveraging Data Insights to Optimize Netflix's International Growth
eda numpy pandas python 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/breadrock1/ml-labs
Machine Learning. There is a suite of Machine Learning laboratory tasks.
classification knn knn-classification machine-learning nlp nlp-machine-learning numpy pandas pandas-dataframe python python3 random-forest regression scikit-learn-python skele trees
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https://github.com/sarmad426/ai
AI basic to advanced featuring Machine Learning, Deep Learning and Data Science.
ai data-science deep-learning hugging-face machine-learning numpy pandas python scikit-learn
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This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.
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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/rscr1/summer_practice_mai_2
Решение всех заданий летней практики
matplotlib numpy pandas python scipy sympy
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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/lulunac27a/number-statistics-jupyter-notebook
Number statistics app in Jupyter Notebook
jupyter jupyter-lab jupyter-notebook jupyter-notebooks jupyternotebook notebook number number-statistics number-stats numpy numpy-arrays numpy-python python python-notebook python-notebooks statistics stats
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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
Last synced: 15 Apr 2026
https://github.com/ankitpundir7/group-face-emotion-recognition
This project can identify and categorize human emotions in both static and dynamic context. Duration : Jun 2023 - Jul 2023
convolutional-neural-networks deep-learning keras machine-learning-algorithms numpy opencv python tensorflow
Last synced: 07 Feb 2026
https://github.com/samiyaalizaidi/nn-ml-homeworks
Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.
machine-learning machine-learning-workflow neural-networks numpy scikit-learn
Last synced: 15 Apr 2026
https://github.com/nandinimarepalli/ai_ml_internship_projects
Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 May 2026
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/dulajkavinda/fashion-classification
👗 classify fashion items using machine learning
added machinelearning matplotlib numpy pandas python scikit
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https://github.com/rakesh3596/apple-phone-sales-analysis
Apple Phone Sales Analysis using Python tools like Pandas, Matplotlib, Numpy, Plotly, Apple csv file
csv-files csv-reader matplotlib numpy pandas plotly python
Last synced: 14 Apr 2026
https://github.com/ayushdutta-ai/face-recognition-model
A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.
face haar-cascade lbph-face-recognizer numpy opencv pillow
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https://github.com/tsar123/neutral-single-nucleotide-polymorphisms-analysis
analysis of data on neutral single nucleotide polymorphisms
dna-polymorphism matplotlib numpy pandas seaborn snv
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https://github.com/danish-jamil-01/kidney-tumor-detection
Demonstrating how changes in input image resolution affect the algorithm's output
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https://github.com/bineet-ratna-shakya/data-science-salary-analysis
analyzing a dataset containing salaries of data science professionals from 2020 to 2023.
data-analysis data-science data-visualization jupyter numpy pandas python
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https://github.com/shreenidhi7700/rice-leaf-disease-prediction-using-convolutional-neural-network
Classifying images of rice leaf disease plants into various disease categories using Convolutional Neural Network
convolutional-neural-networks efficientnet inceptionv3 jupyter-notebook keras machine-learning matplotlib numpy os python resnet50 seaborn shutil-python tensorflow transfer-learning xception
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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.
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https://github.com/abideen-olawuwo/nyc-taxi
Prediction the duration of New York Taxi trip
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https://github.com/luizabash/wmap-tt-eda
EDA of the WMAP 5-Year TT Power Spectrum data, the analysis includes summary statistics, data visualization, polynomial regression for model fitting, and hypothesis testing
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https://github.com/hygull/pyrandocs
A repository (pyrandocs i.e. Python's v2/v3 random documents/files) containing different Python v2/v3 based resources (files/documents etc.) from random topics. A project to try different Python's features.
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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https://github.com/saumyajeet-varma/braintumor-ml-integrated-webapp
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https://github.com/sarowarahmed/advertising-sales-app
📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit
Last synced: 07 Feb 2026
https://github.com/ianhaggerty/final-capstone
This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.
amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud
Last synced: 19 Jan 2026
https://github.com/vishalgaud17/stroke
A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.
machine-learning numpy pandas python scikit-learn streamlit
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https://github.com/oislen/randomtelecompayments
An application for randomly generating telecommunication payment data.
data-simulation multiprocessing numpy pandas payments python qmarkdown random-number-generation telecommunications unittests
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https://github.com/amruta33/telecom-churn-case-study
Building a classification model for reducing the churn rate for a telecom company.
logistic-regression matplotlib numpy pandas plotly python seaborn skit-learn statmodels
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https://github.com/arsh-pixel-cmd/ai-image-classifier
AI Image Classifier is a web app that uses AI and deep learning to classify images in real-time. Built with Streamlit, TensorFlow (MobileNetV2), OpenCV, and NumPy, it allows users to upload single or multiple images and get the top-3 predictions with confidence scores instantly in the browser.
docker numpy opencv python3 streamlit tensorflow2 uv
Last synced: 10 Apr 2026
https://github.com/sharkb8t/credit-risk-classification
Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.
jupyter-notebook numpy pandas pathlib python scikit-learn
Last synced: 15 Apr 2026
https://github.com/debangshu9183/spam-mail-detection
To detect spam mail
logistic-regression machine-learning numpy pandas scikit-learn seaborn
Last synced: 05 May 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
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https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
data-analysis data-visualization matplotlib-pyplot numpy pandas python
Last synced: 05 May 2026
https://github.com/vedanty3/supermarket-sales-data-analysis
This project contains data visualization techniques (using pandas and matplotlib) to explore different aspects of supermarket sales data of 3 months.
data-analysis data-science jupyter-notebook matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/vikkiezdev/ai-global-index-analysis
This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.
cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis
Last synced: 06 May 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/bursasha/pandas-numpy-matplotlib-cavies-analysis
Complete statistical analysis of cavy lifetime dataset using Python, Pandas, NumPy, Matplotlib, and SciPy to explore, visualize, and infer the impact of bacilli infection on cavy lifetimes 🦫
cavy dataset-analysis distribution-fitting hypothesis-testing jupyter-notebook matplotlib numpy pandas python-analysis scipy statistical-analysis statistical-methods
Last synced: 09 Feb 2026
https://github.com/leavers/npblob
Transfer numpy array between Python and JavaScript losslessly
array javascript matrix numpy python streaming typescript
Last synced: 06 May 2026
https://github.com/armahdavi/analytics_statistics_ml_plotting_dust_extraction_hvac_filters_ph2
PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
Last synced: 14 Apr 2026
https://github.com/prateekrajsrivastav/question-answering-model
This project is an NLP-based Question-Answering System that leverages machine learning and natural language processing techniques to provide answers to user queries based on a given context or dataset. The system processes textual input, extracts meaningful insights, and returns relevant answers to the user's question.
huggingface-transformers matplotlib nltk numpy pandas seaborn spacy
Last synced: 10 May 2026
https://github.com/sahilk12nayak/data-capstone-projects-using-python-libraries
In this data project we will focus on exploratory data analysis. This project utilizes Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.
matplotlib numpy pandas seaborn
Last synced: 15 Apr 2026
https://github.com/ankits-21/smartspectro
This is Mobile Based Spectrometer
flask-application jvascript kd-tree matplotlib numpy pandas python react-native scipy
Last synced: 09 Feb 2026
https://github.com/murugavl/forage_tata_genai_powered_data_analytics
This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.
excel genai matplotlib numpy pandas powerbi python
Last synced: 09 Feb 2026
https://github.com/samuelpuerta/modelosiasaberprocolombia
PROYECTO KAGGLE - Crear un modelo para predecir el redimiento de los estudiantes en las pruebas Saber Pro
ai ia jupyter-notebook machine-learning numpy pandas prediction-model predictive-modeling python
Last synced: 06 May 2026
https://github.com/frolov-andrey2405/mandelbrot-s-fractal
Mandelbrot's Fractal Constructions
Last synced: 06 May 2026
https://github.com/hmotez/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss
Last synced: 12 Apr 2026
https://github.com/yashpaneliya/bank-loan-default-analysis
Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.
data-analysis loan-default-analysis matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/rashidul738/data-analysis-with-statistics-and-python
Data Analysis with Statistics and Python
jupiter-notebook lambda numpy pandas-python python scipy statistics
Last synced: 06 May 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/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
Last synced: 06 May 2026
https://github.com/greatepee/book-recommendation-system
Book Recommendation System
collaborative-filtering cosine-similarity evaluation-metrics k-precision kaggle kaggledatasets mae numpy pandas python scikit-learn scipy svd svd-matrix-factorisation
Last synced: 12 Mar 2026
https://github.com/ben854719/autonomous-health-monitoring-emergency-response
This app uses Bluetooth to link a worker’s smartphone with a supervisor’s laptop for live health monitoring. PySyft handles secure biometric authentication, while machine learning detects injuries and visualizes them on a dashboard. Agentic AI responds to critical events by triggering emergency protocols and contacting 911 with location data.
agentic-ai bluetooth cryptography cybersecurity error-handling gemini langgraph machine-learning-algorithms matplotlib mcpserver nltk numpy pysyft python pytorch socket tcp tenseal
Last synced: 28 Apr 2026
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/kunalpisolkar24/gradientdescent
A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.
cost-function gradient-descent numpy visualization
Last synced: 06 May 2026
https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 19 Apr 2026
https://github.com/khinthandarkyaw98/python_for_engineers
This particular Python notebook is designed to provide Engineers with an opportunity to practice scientific computations.
engineering numpy python scientific-computing youtube
Last synced: 16 Apr 2026
https://github.com/cherukuri-thanu/conjoint-analysis-netflix
This repository contains configuration files for performing conjoint analysis on Netflix survey data.
conjoint-analysis logistic-regression matplotlib-pyplot netflix numpy pandas squantify statsmodels
Last synced: 16 Apr 2026
https://github.com/nimaabediforud/heart-disease-prediction
The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.
biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow
Last synced: 15 Apr 2026
https://github.com/umer-farooq-cs/california-housing-regression
Linear Regression experiments on the California Housing dataset across five phases, using NumPy and scikit-learn only (no pandas). Includes EDA, polynomial features, SGD with scaling, residuals, 5-fold CV, and an LNCS-style report with figures.
california-housing cross-validation deep-learning-for-perception linear-regression numpy polynomial-features reproducible-research residual-analysis sgd sklearn
Last synced: 09 May 2026
https://github.com/mustafaozvardar/image-classification-webapp
This project features an AI model for diagnosing pneumonia from chest X-ray images. Users can upload a chest X-ray image through the app, and the model will classify it.
artificial-intelligence computer-vision keras numpy python streamlit streamlit-webapp tensorflow
Last synced: 27 Feb 2026
https://github.com/christabelsakyi/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib-pyplot numpy python seaborn sklearn
Last synced: 08 May 2026
https://github.com/isratafrin826/neural-networks-ann_using_mnist-dataset
matplotlib-pyplot numpy seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/ejw-data/python-bitwise-operators
Difference between bitwise and logical operators when using pandas
Last synced: 08 May 2026
https://github.com/sweta-kaundilya/finance-data-project
This data project focuses on exploratory data analysis of bank stock prices throughout financial crisis all the way to early 2016.
financial-analysis jupyter-notebook matplotlib numpy pandas-python seaborn
Last synced: 16 May 2026
https://github.com/sopheakchan/dull-razor-algorithm
DullRazor hair removal for dermoscopic skin images.
Last synced: 06 May 2026
https://github.com/harmanveer-2546/music-genre-classification
Classifying the genre of a music using deep neural networks.
cnn deep-neural-networks keras labelencoder librosa matplotlib music numpy pandas pickle python scipy seaborn sequential-models tensorflow
Last synced: 12 Feb 2026
https://github.com/akashash01/support_vector_machine
It's an linear model for classification and regression problems. It can solve non-linear problems by creating a hyperplane which separates the data into classes using KERNAL .
data-science datavisualization machine-learning numpy pandas python sklearn svm-classifier
Last synced: 13 Apr 2026
https://github.com/mouradhamzaoui/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
Last synced: 16 Apr 2026
https://github.com/bharatsharma07/ipl-analysis
This project provides insights into the IPL's historical data, helping to identify trends, player performance, and team strategies.
data-visualization ipl-data-analysis numpy pandas python
Last synced: 16 Apr 2026
https://github.com/csengupta1101/rock-paper-scissor-game
Rock Paper Scissor game built with Python 3. Jupyter notebook used as IDE. Code File , Read Me attached herewith.
game if-else-statements numpy python python3 random
Last synced: 11 May 2026
https://github.com/fazal-coder/capturing_img
python code for Creating blue color image
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https://github.com/ankit21111/carpredict
This project predicts car prices using machine learning models, including Simple and Multiple Linear Regression. It covers data acquisition, feature selection, and optimization techniques like Ridge Regression. The best model, Multiple Linear Regression, achieved an R² score of 0.84. Check out the full analysis in the repository!
data-analysis data-visualization matplotlib numpy pandas pyhton scipy seaborn sklearn
Last synced: 16 Apr 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/rahulsm20/storedata
A data analysis project aimed at analyzing the sales data of the super store and providing useful insight into customer preferences.
data-analysis matplotlib numpy pandas python streamlit
Last synced: 16 Apr 2026
https://github.com/haimgoldfisher/data_sience_intro_final_project
Final project of the Data Sience Intro course, Ariel university.
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/naveen88112/genetic_algos_maze_solver
Genetic Algorithm Maze Solver This project utilizes a Genetic Algorithm (GA) to solve the optimization of a maze problem. It evolves the population of promising solutions to the best solution finding shortest path between start and end point using selection, crossover, and mutation.
deap-library genetic-algorithms matplotlib maze-solver numpy python
Last synced: 06 May 2026
https://github.com/christiansassi/signal-image-and-video-project
Project developed by Pietro Bologna (@bolognapietro) and Christian Sassi for the Signal, Image and Video course.
image-processing mri-segmentation numpy opencv python
Last synced: 06 May 2026
https://github.com/dpgitaccount/project---hospital-readmission-analysis
The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.
boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization
Last synced: 16 Apr 2026