Popular GitHub Repositories for Databricks Notebooks

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.

A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow

Instructions and code for the workshop "From Big Data to NLP Insights: Unlocking the Power of PySpark and Spark NLP"

Model interpretability for Explainable Artificial Intelligence

Big data application of Machine Learning concepts for sentiment classification of US Airlines tweets. The focus is on the usage of pyspark libraries (ml-lib) on big data to solve a problem using Machine Learning algorithms and not about the choice of algorithm used in the ML model creation. It also involves data pre-processing using NLP techniques, cross-validation and parameter-grid builder.

Final project from "Machine Learning at Scale" (W261) in UC Berkeley's Data Science Masters program

A PySpark implementation of 6 lesser-known Scikit-Learn features optimized for Azure Databricks. This project translates powerful machine learning techniques from Scikit-Learn into PySpark's distributed computing framework.