rasbt / stat451-machine-learning-fs21Links
☆151Updated 3 years ago
Alternatives and similar repositories for stat451-machine-learning-fs21
Users that are interested in stat451-machine-learning-fs21 are comparing it to the libraries listed below
Sorting:
- Applied Machine Learning Explainability Techniques, published by Packt☆247Updated last year
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- Lightning Bits: Engineering for Researchers repo☆132Updated 2 years ago
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆52Updated 2 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆276Updated 4 years ago
- ☆284Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆208Updated last month
- Practical Deep Learning at Scale with MLFlow, published by Packt☆160Updated last year
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆172Updated 3 years ago
- Kaggle Pipeline for tabular data competitions☆207Updated 11 months ago
- Applied Machine Learning with Python☆80Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov☆77Updated 2 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆505Updated 3 years ago
- Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP☆82Updated 3 years ago
- Machine Learning Engineering with Python☆185Updated 2 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆406Updated 3 years ago
- Interpretable Machine Learning with Python, published by Packt☆465Updated 2 years ago
- DRL university course lecture notes & exercises☆86Updated 2 years ago
- Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"☆70Updated 3 years ago
- ☆199Updated last month
- NYU Deep Learning Fall 2022☆61Updated 9 months ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆78Updated 2 years ago
- ML Zoomcamp fall 2021 homework and stuff☆66Updated 3 years ago
- 100 exercises to learn Python Datatable☆268Updated 3 years ago
- Notebooks for a course☆38Updated 5 years ago
- An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them☆99Updated last year
- Deep Learning Fundamentals -- Code material and exercises☆379Updated last year
- An end-to-end project on customer segmentation☆81Updated 2 years ago