mint-lab/dl_tutorial
Machine Learning and Deep Learning Tutorial
This tutorial teaches undergraduate students the fundamental concepts of machine learning and deep learning. It provides lecture slides and hands-on Python code examples using scikit-learn and PyTorch. Students or self-learners can use this to understand core ML/DL techniques.
Use this if you are an undergraduate student or self-learner who wants to grasp machine learning and deep learning basics with practical coding examples.
Not ideal if you are looking for advanced research topics, cutting-edge models, or a solution to a specific, complex industry problem.
Stars
16
Forks
4
Language
—
License
—
Category
Last pushed
Jan 04, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mint-lab/dl_tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PaddlePaddle/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice...
fastai/fastai
The fastai deep learning library
openvinotoolkit/openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
PaddlePaddle/docs
Documentations for PaddlePaddle
msuzen/bristol
Parallel random matrix tools and complexity for deep learning