Pinned Repositories
airbnbFinder
aws.signature
Amazon Web Services Request Signatures
DSforAutomotive
Assets for Lab
SchoolMap-OpenDataPhilly
Interactive Map of Philadelphia School District
Spark_POT
spark_streaming_demo
Spark Streaming with Kafka and Wikipedia Edits
speech-to-text-websockets-python
Python client that interacts with the IBM Watson Speech To Text service through its WebSockets interface
kurlare's Repositories
kurlare/spark_streaming_demo
Spark Streaming with Kafka and Wikipedia Edits
kurlare/DSforAutomotive
Assets for Lab
kurlare/SchoolMap-OpenDataPhilly
Interactive Map of Philadelphia School District
kurlare/Spark_POT
kurlare/speech-to-text-websockets-python
Python client that interacts with the IBM Watson Speech To Text service through its WebSockets interface
kurlare/airbnbFinder
kurlare/aws.signature
Amazon Web Services Request Signatures
kurlare/CampDataDashboard
Data Viewing and Analysis Tool using Shiny
kurlare/containers
Sample base images for Databricks Container Services
kurlare/csv-import
kurlare/d3
A JavaScript visualization library for HTML and SVG.
kurlare/datasciencecoursera
kurlare/db-dcs-images
Images for Databricks Container Services
kurlare/db-hosted-rstudio
kurlare/Get_Clean_Data
Course Project Submission
kurlare/hello-kafka-streams
Wikipedia demo using preview features of Kafka Connect and Kafka Streams.
kurlare/ibmos2spark
kurlare/misc-assets
kurlare/mlflow
Open source platform for the machine learning lifecycle
kurlare/mpld3
D3 Renderings of Matplotlib Graphics
kurlare/Personal-Portfolio
Camp data analysis.
kurlare/phlMaps
Exploring maps of Philadelphia using open data
kurlare/PML
Predicting Exercise Performance with the Quantified Self (SEE README)
kurlare/present_dash
Slidify Presenation!
kurlare/python_reference
Useful functions, tutorials, and other Python-related things
kurlare/R-User-Guide
R user guide to Databricks
kurlare/Regression-Models
Course Project for Coursera Data Science Specialization
kurlare/rocker
R configurations for Docker
kurlare/sparklyr_wrecks
Shiny app using sparklyr API and decades of publicly available fatal crash data (FARS) to understand factors in fatal accidents.
kurlare/Statistical-Inference
Projects for Coursera Stat-Inf