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A playbook for systematically maximizing the performance of deep learning models.
yanyudm / Data-Mining-R
Forked from XiaoruiZhu/Data-Mining-RA set of notes for undergraduate and graduate data mining class in Lindner College of Business.
Badges for your personal developer branding, profile, and projects.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Reference Azure Project for python package deployment to Databricks Environment
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.
Python best practices guidebook, written for humans.
Deliberate Practice for Learning Python
MLOps using Azure ML Services and Azure DevOps
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
curated collection of papers for the nlp practitioner 📖👩🔬
Course materials and handouts for #100DaysOfCode in Python course
A collection of various deep learning architectures, models, and tips
Fit interpretable models. Explain blackbox machine learning.
reproducible finance bookdown
A minimal example of using bookdown to write a book for Chapman & Hall/CRC
Two-day workshop that covers how to use R to interact databases and Spark
A command-line tool that makes git easier to use with GitHub.
A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood