LamineTourelab/Tutorial
Tutorials on machine learning, artificial intelligence in general and in biomedical research.
This repository offers practical tutorials on applying artificial intelligence and machine learning techniques, particularly in medical research and bioinformatics. It provides Jupyter notebooks covering workflows like single-cell data analysis, medical image classification, and explainable AI. Scientists, researchers, and data analysts in biomedical fields can use these resources to understand and implement AI solutions for their specific data.
No commits in the last 6 months.
Use this if you are a biomedical researcher or data scientist looking for practical, code-based examples to apply AI and machine learning to medical or biological datasets, especially for tasks like single-cell analysis or image classification.
Not ideal if you are seeking a production-ready software tool or a comprehensive theoretical textbook on AI; this is a collection of hands-on tutorials.
Stars
16
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 03, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/LamineTourelab/Tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
jzsmoreno/likelihood
Code generated from the Machine Learning course to optimization tasks
ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
x4nth055/pythoncode-tutorials
The Python Code Tutorials
john-science/scipy_con_2019
Tutorial Sessions for SciPy Con 2019