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Scaling H2O analytics with AWS and p(f)urrr (Part 3)

Scaling H2O analytics with AWS and p(f)urrr (Part 3)

H2O + AWS + purrr (Part III) This is the final installment of a three part series that looks at how we can leverage AWS, H2O and purrr in R to build analytical pipelines. In the previous posts I looked at starting up the environment through the EC2 dashboard on AWS’ website. The other aspect we looked at, in Part...

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Scaling H2O analytics with AWS and p(f)urrr (Part 2)

Scaling H2O analytics with AWS and p(f)urrr (Part 2)

H2O + AWS + purrr (Part II) This is the second installment in a three part series on integrating H2O, AWS and p(f)urrr. In Part II, I will showcase how we can combine purrr and h2o to train and stack ML models. In the first post we looked at starting up an AMI on AWS which acts as the infrastructure...

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Analysis of South African Funds

Analysis of South African Funds

Packages used in this post Disclaimer: I am no financial advisor, have never been and you should not take any of this analysis as investment advice. These thoughts are my own, please dont mail me about your money strategies/problems. I enjoy numbers, scraping and data analysis and that is wat this post is about. Also, do you really want to...

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Scaling H2O analytics with AWS and p(f)urrr (Part 1)

Scaling H2O analytics with AWS and p(f)urrr (Part 1)

H2O + AWS + purrr (Part I) In these small tutorials to follow over the next 3 weeks, I go through the steps of using an AWS1 AMI Rstudio instance to run a toy machine learning example on a large AWS instance. I have to admit that you have to know a little bit about AWS to follow the next...

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Interacting with AWS from R

Interacting with AWS from R

Getting set up If there is one realisation in life, it is the fact that you will never have enough CPU or RAM available for your analytics. Luckily for us, cloud computing is becoming cheaper and cheaper each year. One of the more established providers of cloud services is AWS. If you don’t know yet, they provide a free, yes...

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Workshop in Cape Town: Web Scraping with R

Join Andrew Collier and Hanjo Odendaal for a workshop on using R for Web Scraping. Who should attend? This workshop is aimed at beginner and intermediate R users who want to learn more about using R for data acquisition and management, with a speci...

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Workaround for tidyr::spread with duplicate row identifiers

The problem The tidyverse api is one the easiest APIs in R to follow - thanks the concept of grammer based code. But every now and again you come across an error that boggles your mind, my personal one is the error spread delivers when I have no ind...

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Rstudio + Selenium + AWS: Deep in Docker Hell

Rstudio + Selenium + AWS: Deep in Docker Hell

As with most data scientist, there comes a time in your life when you have enough false confidence that you try to build production systems using docker on AWS. This past weekend, I fell in this trap. Having recently attended a R-ladies event in Cape Town that dealt with the topic of Docker for Data Science, I achieved a...

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Moving columns using basic english prepositions!

Moving columns using basic english prepositions!

Moveme! I recently worked with a dataset that had over 100 columns and had to keep moving the order of the columns such that I could easier conduct my analysis. For example, whenever you try and conduct a multiple-factor analysis (FactoMineR::MFA), the function requires specific grouping of your variables to conduct the analysis. This meant that after feature engineering, I...

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An R vlookup? Not so silly idea

An R vlookup? Not so silly idea

It started out as a joke, but Jenny Bryan recently posted a vlookup implementation in R. Here is the original post as seen on twitter: Sometimes you just need to party like it’s VLOOKUP time 😁🖇 … seriously, sometimes a join doesn’t fit the bill pic.twitter.com/jz8StfQdNg— Jenny Bryan (@JennyBryan) April 3, 2018 The argument for the creation of this kind of...

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