a streamlit brain tumor classifier.
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Updated
Jun 11, 2024 - Jupyter Notebook
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
a streamlit brain tumor classifier.
a streamlit application that detects emotions in real-time and also in images and videos.
AI-Powered Jupyter Notebook built using React
a streamlit appplication to assist with heart disease prediction, skin cancer and tubercolosis detection also with a health chatbot.
The goal of this project is to visualize the top searches for common health issues in the United States, from Cancer to Diabetes, and compare them with the actual location of occurrences for those same health conditions to understand how search data reflects life for millions of Americans.
Official main repository for LFortran
Coleta de dados financeiros das empresa listadas na Bovespa.
A GPT in a Jupyter Notebook, written in PyTorch. Starter kit for your next NLP project.
Learn Python for data analysis from zero with this tutorial based on Jupyter notebooks.
"Welcome to the 100 Days of Python repository! Here, you'll find 100 files of Python code spanning beginner to advanced levels. Leveraging GitHub for tracking and Jupyter Notebook for coding, this repository is your gateway to a comprehensive Python learning experience."
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Exercícios de Lógica de Programação e Algoritmos
This is our Github Repository containing the Python projects for the course: Introduction to Programming and Numerical Analysis at the University of Copenhagen
Repositório criado para a execução da API do 1º Semestre de 2024, da FATEC Prof. Jessen Vidal
A deep learning model created to classify the movie reviews as positive or negative.
Explore my movie-watching habits through this analysis of my Letterboxd diary, enhanced with TMDb API data. Visualized insights using Python and Tableau.
An analysis on movie conversations over the years
My data science projects, in Python and R, about statistical learning and Bayesian inference.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 4 days ago