sidrid Goto Github PK

5th_place_solution_facebook_check_ins

My solution rank 5th/1212 in Facebook check ins prediction competition at Kaggle

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

blog

Source of my personal blog, using Markdown, Jekyll and Heroku

data-con-scrape

data-science-in-tidyverse

Data Science in the tidyverse, a two-day workshop @ rstudio:conf(2018)

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

facebook-v

Cleaned code of the winning submission of the Kaggle Recruiting Competition

hypertools-paper-notebooks

Supporting notebooks and data from hypertools paper

instacart-basket-prediction

Kaggle | Instacart Market Basket Analysis🥕🥉

kaggle-airbnb-recruiting-new-user-bookings

2nd Place Solution in Kaggle Airbnb New User Bookings competition

kaggle-web-traffic

1st place solution

kaggle2016

Kaggle challenge for Analytics Edge students MITx, 2016

kaggle_airbnb

AirBnB competition on Kaggle

killrweather

KillrWeather is a reference application (work in progress) showing how to easily integrate streaming and batch data processing with Apache Spark Streaming, Apache Cassandra, Apache Kafka and Akka for fast, streaming computations on time series data in asynchronous event-driven environments.

lab_files

mercury-challenge

Public Repository for the IARPA Mercury Challenge

rstudio-conf-2018

Drill-down data discovery with Shiny

rstudioconf_tweets

A repository for tracking tweets about rstudio::conf

santander-product-recommendation

2nd Place Solution of the Kaggle Competition - Santander Product Recommendation

scraping-a-support-site-for-real-time-information

Gather near-real-time information from a Support site and analyse metrics

sidrid.github.io

Personal touch

stat240_shiny_examples

timeseriesanalysiswithpython

twitter_geo

Stream Tweets using python tweepy api

wombat-2017

youtube-data-api-

Goal is to build a pipeline for ingesting metadata of Youtube content. Finally this solution is meant to be implemented in a big data Hadoop environment.