GitHub topics: ipynb-jupyter-notebook

richardiffusion/Github_Jupyter_Reader

Import, View, and Download Jupyter Notebooks from GitHub

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creativepurus/Convert-ipynb-to-PDF

✨ This repository is your go-to resource for seamlessly transforming Jupyter Notebook (ipynb) 📚 files into portable document format (PDF). 📚 🔀 It provides a simple and convenient way to convert Jupyter Notebook (ipynb) files to PDF format 🤓

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nirmit27/ds-and-ml

Learning how to crunch numbers and mimic human beings. 🤖

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TokenWorks-LLC/OA_OB_letters

Notebook with letters from the Old Assyrian and Old Babylonian periods.

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suixin7777/Eva

An AI assistant with the ability to search, generate text, and remember important information.

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Alvalens/web-javanese-translation

This is a simple translation website to translate javanese ngoko and krama using original transformer arcitecture

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Tejeswar001/Placement-Prediction-App

A full-stack web application that predicts student placement probability using machine learning. The application consists of a Flask-based REST API backend and a Next.js frontend.

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Lavanya-25204/Loan-Predictor

Loan Predictor App

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alicelond/digital_signal_processing_tools

Solved exercises from the course Signal processing problems

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Lavanya-25204/Home-Price-Predictor

Home Price Prediction

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kelvinweijun/CO2-Emission-vs-Renewable-Energy-Analysis

Data analysis project to explore the correlation between greenhouse gas emissions and the use of renewable energy globally and regional

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Joanna20Carrion/Tiendas-de-Alura-Store

Análisis exploratorio ligero de las ventas de cuatro tiendas Alura Store en Latinoamérica, empleando Python y pandas para obtener insights rápidos de facturación, categorías y logística.

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Danish-Jamil-01/kidney-tumor-detection

Demonstrating how changes in input image resolution affect the algorithm's output

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reek02/Indian-Weather-Data-Analysis

Interactive Python & Streamlit app visualizing 2009–2019 Indian weather trends across eight major cities.

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Antrita/NorthSeaBaltic_EHDT_Json

[Data analysis Project] Dashboard + Json data of existing E-HDT or HGV specific charging infrastructure in North Sea Baltic corridor. Fetched with Overpass API.

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moon19ht/ML-DL_Study

"혼자 공부하는 머신러닝 딥러닝" 책 기반 AI 스터디

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MuhamadAzharrudin/BLEU-metrix-evaluation

This repository contains Python scripts to calculate BLEU (Bilingual Evaluation Understudy) scores to assess the quality of automatic translation systems. BLEU scores are a popular metric for measuring how close a model's output is to a reference translation.

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aimaster-dev/symptocare

SymptoCare is an #AI-powered health assistant that provides #symptom-based #risk predictions and mental wellness support using GPT/Gemini. Built with #React, #Flask, s#cikit-learn, and #Firebase, it offers smart insights and doctor booking features.

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adsh16/PlaySense

Developed a personalized game recommendation system combining K-Means clustering and Nearest Neighbors algorithms to suggest games based on user preferences and game attributes. The system mitigates decision paralysis by offering tailored recommendations using game features like price, platform, genres, and release year. We implemented content-base

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leonvanbokhorst/NoteBooks-Statistics-and-MachineLearning

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

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dg2c4/Asteroids-Orbits-Data-Elective-II

Realizar un análisis completo de un conjunto de datos de asteroides para identificar posibles riesgos de impacto con la Tierra, utilizando técnicas de análisis exploratorio, preprocesamiento y visualización de datos.

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HasanYahya101/CN_Lab_Solutions

Solutions to Computer Networks lab questions from Spring 2025 Semester in Fast Nuces Lhr. The actual questions can be found in pdf files. Note that, this is for the Lab (subject), not the theory subject.

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Nialled69/Bed-availability-Detection

Machine Learning Model using YOLOv8 to detect availability of beds in hospital wards by checking CCTV footage and updating the hospital database realtime.

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ozlerhakan/toci

🗂 markdown tool to create table of content from jupyter notebooks

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dg2c4/Bank-Marketing-Big-Data

Los datos se relacionan con campañas de marketing directo (llamadas telefónicas) de una entidad bancaria portuguesa. El objetivo de la clasificación es predecir si el cliente suscribirá un depósito a plazo (variable y).

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Louis3112/image_process

One of my project for Image Processing 4th Semester. The project is a simple extracting pixel matrices

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dg2c4/Bank-Marketing-Data

Los datos se relacionan con campañas de marketing directo (llamadas telefónicas) de una entidad bancaria portuguesa. El objetivo de la clasificación es predecir si el cliente suscribirá un depósito a plazo (variable y).

Language: Jupyter Notebook - Size: 4.58 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Pedroo-Nietoo/ProjetoDatiloscopia

Análise de dados com Python para projeto de Datiloscopia

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kushagrasinha123ks/Email-Campaign

Email-Campaign analysis using KPIs such as Open Rates, CTR and CTOR, and much more.

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Jain131102/Introduction-to-Machine-Learning

Introduction to Machine Learning

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felixamaladhas/Credit-Card-Fraud-Detection

Credit card fraud, involving stolen cards or compromised information, leads to major financial losses globally. This project uses machine learning to detect fraudulent transactions by recognizing unusual patterns and behaviors.

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nikbarb810/Pattern-Recognition

Basic pattern recognition algorithms implemented in Python

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danishayman/Credit-Card-Fraud-Detection

This project implements various machine learning models to detect fraudulent credit card transactions.

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dg2c4/Asteroids-Orbits-Data-Elective-I

Realizar un análisis completo de un conjunto de datos de asteroides para identificar posibles riesgos de impacto con la Tierra, utilizando técnicas de análisis exploratorio, preprocesamiento y uso de redes neuronales.

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dg2c4/Diabetes-Clinical-Data

Desarrollar un análisis completo que permita extraer datos sobre los pacientes que presentan afectaciones de diabetes, utilizando herramientas de modelos machine learning y el algoritmo Kmeans, para visualizar los resultados de manera efectiva.

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dg2c4/Apple-Quality-Machine-Learning-Model

Desarrollar un modelo que aprenda efectivamente de los datos y pueda realizar predicciones o clasificaciones precisas, utilizando herramientas como pandas para el manejo de datos y scikit-learn para el modelado.

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dg2c4/Air-Quality-Data

Desarrollar un análisis completo que permita extraer insights significativos sobre la calidad del aire, utilizando herramientas de visualización de datos para presentar los resultados de manera efectiva.

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dg2c4/Penguin-Species-Classification

Desarrollar un análisis completo que permita extraer datos sobre los pingüinos del archipiélago Palmer (Antártida), utilizando herramientas de visualización de datos para presentar los resultados de manera efectiva.

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vxncius-dev/NotebookConverter

A simple command-line tool for converting Python scripts to Jupyter notebooks and vice versa.

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Ocramnaig94/digital-twin-for-aircraft-engine-maintenance

A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful life

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ezdanapak/Lab_4-ipynb

Geographic Software Design

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hamidhosen42/My-learning-Book-Shunno-Theke-Python-Machine-learning-Hate-Kalame-Scikit-Learn

Shunno Theke Python Machine learning Hate Kalame Scikit Learn

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TahirZia-1/Brain-Tumor-Classification-via-Deep-Learning

An AI model that Classifies between 4 classes of Brain Tumors. Well-established CNN architecture pre-trained on a massive dataset of MRI scans. VGG16 model is used for this task.

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TahirZia-1/Facial-Emotion-Recognition

An AI model to Recognize Facial Emotions from the (Universal) 7 classes of emotions.

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TahirZia-1/X-ray-Bone-Fracture-Detection

Detects if the bone is fractured or not. Pre-processing includes Image Data generator, Training Data Augmentation, Testing Normalization and Data loading etc.

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TahirZia-1/My-own-Optimization-Function-in-Keras

Implementation of my own optimization function in Keras to train a neural network. Also compared with common optimizers like ADAM.

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ikanurfitriani/Diabetes-Prediction

This repository contains code archives for Diabetes Prediction with Machine Learning

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TahirZia-1/Neural-Networks-MNIST-in-Python

Implementations of neural networks in python for the classification of MNIST datasets.

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ikanurfitriani/Face-Mask-Classification

This repository contains code archives for Face Mask Classification with Deep Learning

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zackyfachrur/bot-mindreader

A Simple Game Mind Reader Score with BOT

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Quantivio/python_starter_code

Welcome to the Python-Starter-Codes repository! Here, you'll find a comprehensive set of Python starter code that's perfect for beginners who are just starting to learn the language. Whether you're a complete novice or just looking to brush up on your skills, this repository has everything you need to get started with Python.

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amal-prasad/HealthCare-Insights

Healthcare Insights based on a dataset provided of a particular Hospital.

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ikanurfitriani/Project-Machine-Learning-Dicoding

This repository contains projects that I participated in the Lintasarta Cloudeka Digischool 2023 program.

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hamidhosen42/A-Graph-Machine-Learning

Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.

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webintellectual/Travelling-Salesman-Problem-busted-with-AI

Solved famous Travelling Salesman Problem using an AI algorithm Simulated Annealing

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DanieloSendi/CameraTrap-Animal-Classification

This repository contains the code and resources, which utilizes deep learning techniques to classify animal species in camera trap images. The project aims to support wildlife conservation efforts by automating the identification of species captured in images, reducing the time and effort required for manual analysis.

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Norod/my-colab-experiments 📦

A repository for sharing ipynb's of my experiments with ML. Some notebooks are 'old' by now and might no longer work 'out of the box'.

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Nishma25/Scooter-Rental-Management-System

A full-fledged scooter rental system implemented in Python using object-oriented programming principles. Demonstrates encapsulation, inheritance, polymorphism, and abstraction to manage scooter fleet, handle rentals, and process transactions

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IRedDragonICY/fuzzy-logic-netflix-recommendation

Analyze and classify Netflix movies based on their IMDb ratings, release years, and the number of votes they have received. Traditional binary classification methods often fall short when dealing with Fuzzy-Logic.

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the-pinbo/ROBDD

A binary decision diagram is a directed acyclic graph used to represent a Boolean function. The ROBDD is a canonical form, which means that given an identical ordering of input variables, equivalent Boolean functions will always reduce to the same ROBDD.

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AhmedAlsakkaf/AI-Course-Lab-Manual-Solved-COMSATS-University-Islamabad

This is the complete Lab Manual Solved Tasks and Activities for the Artificial Intelligence Course (CSC 462) at COMSATS University Islamabad.

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the-developer-306/House-Price-Predictor

House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.

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Tanzeebul-Tamim/CSE110-Fall-2023

This repository serves as a comprehensive collection of all assignments, quizzes, practice works, and exercise solution codes for BRACu Fall-2023 CSE110 course.

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CodeNexa/Nairobi

Quantifying Integrity in the Digital Age Misinformation spreads rapidly, accountability often falters, and the lines between transparency and manipulation blur

Language: Python - Size: 8.23 MB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

alliesw/IBM_AI_Deep_Learning

IBM AI Engineering via Python

Language: Jupyter Notebook - Size: 427 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AllanOtieno254/epl_match_outcome_predictor

A machine learning project predicting English Premier League (EPL) match outcomes (win, lose, or draw) based on match statistics, using a Random Forest classifier. Includes an interactive Python script for users to input match details and obtain predicted outcomes.

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rayhanpasya/Rating-Top-10-Anime

Rating Top 10 Anime & Deploy to Streamlit

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OneMoreDavid/python-like-a-boss

This is where I stash my Python study material.

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tathithienthanh/FinalTest_Database-SQL-data-collection-for-DS

The final test of the "Database SQL and Data Collection for Data Science" course from The Ho Chi Minh City University of Science (19/09/2023)

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aydinnyunus/Rock-Paper-Scissors-OpenCV

Rock Paper Scissors with OpenCV and Neural Networks

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nano-bot01/Movie-Recommender-Web-Application

Movie Recommendation System based on machine learning concepts

Language: Jupyter Notebook - Size: 2.31 MB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 0

sabrinapg/Abalone-Maturity

Python project predicts Abalone maturity using Machine Learning models. By analyzing physical data, it identifies key factors influencing age, supporting sustainable harvesting and conservation efforts, especially for endangered species like the White Abalone.

Language: Jupyter Notebook - Size: 6.49 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Nizarassad/Black-Friday-Analysis

This study investigates the traditions around collective consumptions on Black Friday.

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jakobzmrzlikar/fake-news-analysis

An analysis of the FakeNewsNet dataset using NLP techniques.

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SAGARTR/FAKE-EMAIL-DETECTOR-USING-MACHINE-LEARNING-

Developed a spam detection model using logistic regression, achieving high accuracy by leveraging TF-IDF vectorization and label encoding techniques.

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ntinouldinho/ml-flask-app

Web application written in Python using flask and deployed on Heroku. The purpose of this project was to connect a UI with 2 of the ML models I have developed for recognizing handwritten numbers.

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zzarif/Hindi-Digit-Recognition-System

A CNN architecture used to predict handwritten Hindi Digits.

Language: Jupyter Notebook - Size: 222 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

atharva-narkhede/Alzheimer-Disease-Detection

Conducted research on Alzheimer’s disease detection using a dataset and employing fuzzy rough set theory along with machine learning algorithms such as Support Vector Machine (SVM) and k-Nearest Neighbors (KNN). Achieved 90% accuracy in disease prediction using SVM.

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sshrey30/Crop-Recommendation

Crop Recommendation ML Model | Python

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tj2904/iris-classification-with-lime

An exploration of the Iris dataset using two algorithms. K-Means Clustering & Logistic Regression with Lime Explaination.

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GauravG-20/Dog-Breed-Image-Classifier

The image classifier to recognize different breeds of dog. Dataset used contains 50 images of dogs. In Image Classifier Project Resnet18, Alexnet, VGG16 from torchvision.models pretrained models were used. It was loaded as a pre-trained network, in which input images are transformed and resized for better prediction.

Language: Python - Size: 10.4 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

piyush26c/Cuda-Programming

Language: Jupyter Notebook - Size: 88.9 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ChandraPrakash-Bathula/Hierarchical-Clustering

Hierarchical Clustering Algorithm on Wine Clustering data with dendograms visualization.

Language: Jupyter Notebook - Size: 188 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

mozturan/ImageClassification_hybridModels

IMAGE CLASSIFICATION w/ hybrid classification algorithms

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ManoharNaidu/Cardiovascular-Risk-Prediction Fork of princekjha/Cardiovascular-Risk-Prediction

Ediglobe Internship Major Project

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r-gg/ml-37

Amazon Reviews ~ Sentiment analysis evaluation: fine-tuned BERT vs LSTM. (+ Extensive Data Mining & Visualization)

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ANSHPG/Exploration-in-Image-Processing-Digit-Image-Generation

This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.

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Schrotwatts/10-easy-python-projects

10 easy and simple python projects for beginners

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afunTW/Python-Crawling-Tutorial

Python crawling tutorial

Language: Jupyter Notebook - Size: 112 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 62 - Forks: 25

Harsha-Vardhan-Tangudu/MACHINE-LEARNING-INTRUSION-DETECTION-SYSTEM

ML project based on intrusion detection system trained dataset

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ABonaplata/house-prices-eda-python

House Prices: Análisis exploratorio de datos con Python

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 4

samrudhau/Fish-Classification

A fish species classifier based on ResNet50.

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samrudhau/Breast-Cancer-Detection

Machine learning model that identifies and also classifies breast cancer.

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ynstf/Automated-Extraction-and-Prediction-of-Tabular-Data-from-Images

Automated Tabular Data Extraction and Prediction is a Python project that combines image processing and machine learning for extracting and predicting tabular data from images with over 80% accuracy. Use this versatile solution by exploring the Jupyter Notebook, and seamlessly integrate it into your projects.

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0