MiguelPeralvo

db-automation

causal_salad_2021

One day course on causal inference, MPI-EVA 9 September 2021

databricks-azuredevops-initial-tasks

databricks-azuredevops-initial-tasks

db-repos-automation-basic

Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline

db-workshops

db-workshops

teslainsights-webapp

teslamonitor-webapp

adb

Azure Databricks public resources

ARK-Invest-Tesla-Valuation-Model

An excerpt from our financial valuation model of Tesla

azure-docs

Open source documentation of Microsoft Azure

cicd-databricks

cicd_demo

cicd_demo1

cicdtest1

cicdtest1

cicdtest2

cicdtest3

db-migration

Databricks Migration Tools

dbconnect-docker

https://hub.docker.com/r/np90/dbconnect

DockerizedAirflowDatabricks

This repository is a base to implement a dockerized solution using airflow and databricks, with a centos based image.

feast

Feature Store for Machine Learning

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

incremental_training

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

lendingclub_scoring

lendingclub_scoring

lendingclubsscoringdemo

mlflow-fun

MLflow samples

model-registry-demo-notebook

petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

shap

A unified approach to explain the output of any machine learning model.

spark-saturday

Workshop for Spark and Databricks

unittest-example

Example of using scalatest and deequ from AWS Labs to unit test a Spark pipeline