Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
1999_Czech_financial_dataset_Teradata
Real world transactions in the years 1993 to 1999 from a Czech bank, modified for loading into Teradata.
2015
Public material for CS109
2017-August-Variant-Analysis-Workshop
2018-August-Variant-Analysis-Workshop
26-Weeks-Of-Data-Science
Email Newsletter
AdventureWorksDW_Teradata
A port of Microsoft's AdventureWorks DW 2014 demo database to Teradata.
AICamp
AIX360
Interpretability and explainability of data and machine learning models
tech-talks
This repository contains the notebooks and presentations we use for our Databricks Tech Talks
krprls's Repositories
krprls/26-Weeks-Of-Data-Science
Email Newsletter
krprls/AIX360
Interpretability and explainability of data and machine learning models
krprls/algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
krprls/awesome-gcp-certifications
Google Cloud Platform Certification resources.
krprls/azure-databricks-1
krprls/beam
Apache Beam is a unified programming model for Batch and Streaming
krprls/beam-learning-month
krprls/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
krprls/cassandra-kafka-elasticsearch-open-source
a open source project to demonstrate a data pipeline from REST API all the way to elasticsearch through kafka connectors and some kind of data manipulation
krprls/cassandra-workshop-series
All materials for the Cassandra Workshop Series in a single place
krprls/demo-scene
Scripts and samples to support Confluent Platform talks. May be rough around the edges. For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/
krprls/DSND_Term2
Contains files related to content and project of DSND Term 2
krprls/eks-cluster-setup
krprls/intro-to-deep-learning
A collection of materials to help you learn about deep learning
krprls/lale
Library for Semi-Automated Data Science
krprls/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
krprls/ML-Lessons
Collection of Our Python and Scratch Lessons
krprls/mslearn-aml-labs
Azure Machine Learning Lab Notebooks
krprls/pipelines
Machine Learning Pipelines for Kubeflow
krprls/Python
All Algorithms implemented in Python
krprls/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
krprls/r4ds
R for data science: a book
krprls/spark-cassandra-connector
DataStax Spark Cassandra Connector
krprls/spark-xml
XML data source for Spark SQL and DataFrames
krprls/terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
krprls/terraform-up-and-running-code
Code samples for the book "Terraform: Up & Running" by Yevgeniy Brikman
krprls/The-Applied-SQL-Data-Analytics-Workshop
A Quick, Interactive Approach to Learning Analytics with SQL
krprls/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
krprls/turicreate
Turi Create simplifies the development of custom machine learning models.
krprls/workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker