Real-time ADLs and Fall Detection implement TensorFlow
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Updated
Nov 7, 2018 - Python
Real-time ADLs and Fall Detection implement TensorFlow
Activity Assistant provides a platform for logging, evaluating and predicting Activities of Daily Living for Home Assistant.
Contains data preprocessing and visualization methods for ADL datasets.
Fluentd output plugin for Azure Datalake Storage Gen2 (append support)
HDInsight provider for Airflow
File Source to read data from distributed file system
Tutorial on setup of online and offline feature stores in Azure Machine Learning (Azure ML), using command line interface (Az CLI)
Terraform module for terraform-azure-adls-gen2
Terraform module for terraform-azure-adls-gen1
An end-to-end ETL pipeline that extracts data from an Azure SQL Server database, transforms the data using Databricks, and loads the transformed dataset into Azure Data Lake Storage (ADLS).
This branch focuses on building Data Engineering Interview Question and Answer
Implementing Change Data Capture for Seamless Fintech Data Migration
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