Topic: ipynb-jupyter-notebook Goto Github
Some thing interesting about ipynb-jupyter-notebook
Some thing interesting about ipynb-jupyter-notebook
ipynb-jupyter-notebook,A list of data science projects completed by me for academic, self learning, and creative purposes
User: abhihirekhan
ipynb-jupyter-notebook,House Prices: Análisis exploratorio de datos con Python
User: abonaplata
ipynb-jupyter-notebook,Python crawling tutorial
User: afuntw
ipynb-jupyter-notebook,
User: ahmedoumar
ipynb-jupyter-notebook,Parch and Posey database was used to explore different functional aspects of SQL from basic to advanced.
User: akshayreddykotha
ipynb-jupyter-notebook,Open your .ipynbs in your jupyter process on double click
User: arjunbazinga
ipynb-jupyter-notebook,Rock Paper Scissors with OpenCV and Neural Networks
User: aydinnyunus
ipynb-jupyter-notebook,Hierarchical Clustering Algorithm on Wine Clustering data with dendograms visualization.
User: chandraprakash-bathula
ipynb-jupyter-notebook,✨ 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 🤓
User: creativepuru
Home Page: https://github.com/creativepuru/Convert-ipynb-to-PDF
ipynb-jupyter-notebook,Over the past few decades, ML techniques have been widely used in intelligent healthcare systems, especially for breast cancer (BC) diagnosis and prognosis. Traditionally the diagnostic accuracy of a patient depends on a physician’s experience. however, this expertise is built up over many years of observations of different patient’s symptoms and confirmed diagnoses. ML techniques can take over some complex manual works from the physicians. Recently, ML techniques are playing a significant role in diagnosis of BC by applying classification techniques to identify people with BC, distinguish benign from malignant tumours and to predict weather the patient is affected or not. We focus on the neural network (NN), support vector machine (SVMs) and k-nearest neighbor (k-NNs) techniques in BC diagnosis.
User: dark-data
ipynb-jupyter-notebook,A jupyter notebook server via HEROKU web without Password.
User: developeranaz
ipynb-jupyter-notebook,Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
User: elijas
Home Page: https://www.cs.cornell.edu/people/pabo/movie-review-data/
ipynb-jupyter-notebook,Machine Learning Titanic Project with R
User: hamidhosen42
ipynb-jupyter-notebook,Shunno Theke Python Machine learning Hate Kalame Scikit Learn
User: hamidhosen42
ipynb-jupyter-notebook,Health Care Project of Simplilearn
User: harrshavardhan
ipynb-jupyter-notebook,ML project based on intrusion detection system trained dataset
User: harsha-vardhan-tangudu
ipynb-jupyter-notebook,A predictive model for Order Cancellation among customers to try to predict suspicious bookings in the hotel industry
User: hasan330
ipynb-jupyter-notebook,This repository contains code archives for Diabetes Prediction with Machine Learning
User: ikanurfitriani
Home Page: https://diabetes-prediction-by-ika.streamlit.app/
ipynb-jupyter-notebook,This repository contains code archives for Face Mask Classification with Deep Learning
User: ikanurfitriani
Home Page: https://face-mask-classification-by-ika.streamlit.app/
ipynb-jupyter-notebook,This repository contains projects that I participated in the Lintasarta Cloudeka Digischool 2023 program.
User: ikanurfitriani
ipynb-jupyter-notebook,
User: jahanvisharma-dotcom
ipynb-jupyter-notebook,
User: jahanvisharma-dotcom
ipynb-jupyter-notebook,An analysis of the FakeNewsNet dataset using NLP techniques.
User: jakobzmrzlikar
ipynb-jupyter-notebook,Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
User: leonvanbokhorst
ipynb-jupyter-notebook,IMAGE CLASSIFICATION w/ hybrid classification algorithms
User: mozturan
ipynb-jupyter-notebook,Movie Recommendation System based on machine learning concepts
User: nano-bot01
Home Page: https://movie-recommender-web-application-system.streamlit.app/
ipynb-jupyter-notebook,This project includes scraping and machine learning processes regarding actresses or actors who are getting divorced
User: nazhanharzula
ipynb-jupyter-notebook,
User: nightwalker110
ipynb-jupyter-notebook,
User: nightwalker110
ipynb-jupyter-notebook,Basic pattern recognition algorithms implemented in Python
User: nikbarb810
ipynb-jupyter-notebook,This study investigates the traditions around collective consumptions on Black Friday.
User: nizarassad
ipynb-jupyter-notebook,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'.
User: norod
ipynb-jupyter-notebook,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.
User: ntinouldinho
Home Page: https://ml-app-23.herokuapp.com/
ipynb-jupyter-notebook,🗂 markdown tool to create table of content from jupyter notebooks
User: ozlerhakan
ipynb-jupyter-notebook,Basic data wrangling using pandas
User: pasumarty08
ipynb-jupyter-notebook,
User: piyush26c
ipynb-jupyter-notebook,Comprehensive Analysis of the Android app market by comparing over a thousand apps in Google Play across different categories.
User: priyadarshini-25
ipynb-jupyter-notebook,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.
Organization: quantivio
ipynb-jupyter-notebook,
User: reanschwarzer1
ipynb-jupyter-notebook,The project aims to perform various data cleaning strategies to handle data quality problems like handling missing values, standardizing attribute values, correcting typos.
User: rutvikpathak11
ipynb-jupyter-notebook,Implementing FaceNet for facial recognition using pre-trained weights.
User: sarthaks21
ipynb-jupyter-notebook,For CCBR - ML Lab
User: shiva16
ipynb-jupyter-notebook,Third project of course "Artificial Neural Networks and Deep Learning" attended during Master Degree at Polimi and concerning the creation a Neural Network for visual question answering problem using Dataset VQA. Authors: Simone Sartoni, Mattia Surricchio
User: simonesartoni
ipynb-jupyter-notebook,This project is on a data set from Prosper, which is America’s first marketplace lending platform, with over $7 billion in funded loans. This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, borrower employment status, borrower credit history, and the latest payment information. The main purpose of this project is to summarize the characteristics of variables that can affect the loan status and to get some ideas about the relationships among multiple variables using summary statistics and data visualizations.
User: susmithagudapati
ipynb-jupyter-notebook,This repository serves as a comprehensive collection of all assignments, quizzes, practice works, and exercise solution codes for BRACu Fall-2023 CSE110 course.
User: tanzeebul-tamim
ipynb-jupyter-notebook,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)
User: tathithienthanh
ipynb-jupyter-notebook,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.
User: the-pinbo
ipynb-jupyter-notebook,Interactive Machine Learning Examples
User: unhkd-dee
ipynb-jupyter-notebook,Hangman Game using Python
User: webriddler
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