This is a quick document aimed at highlighting the basics of what you might want to do using MongoDB and R. I am coming at this, almost completely, from a SQL mindset.
The easiest way to install, I believe, is
darioromero
/ 0_reuse_code.js
Last active
August 29, 2015 14:18
Here are some things you can do with Gists in GistBox.
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| // Use Gists to store code you would like to remember later on | |
| console.log(window); // log the "window" object to the console |
darioromero
/ neuralnetR.R
Created
October 26, 2015 20:54
— forked from mick001/neuralnetR.R
A neural network exaple in R. Full article at: http://datascienceplus.com/fitting-neural-network-in-r/
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| # Set a seed | |
| set.seed(500) | |
| library(MASS) | |
| data <- Boston | |
| # Check that no data is missing | |
| apply(data,2,function(x) sum(is.na(x))) | |
| # Train-test random splitting for linear model |
darioromero
/ rmongodb-tutorial.md
Created
February 15, 2016 00:34
— forked from Btibert3/rmongodb-tutorial.md
Basic Overview of using the rmongodb package for R.
darioromero
/ Embedding and Tokenizer in Keras.ipynb
Created
July 30, 2018 04:43
— forked from Orbifold/Embedding and Tokenizer in Keras.ipynb
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darioromero
/ Project Amazon Fine Food Reviews.ipynb
Created
August 30, 2018 03:44
— forked from abhigrover101/Project Amazon Fine Food Reviews.ipynb
Sentiment Classification : Amazon Fine Food Reviews Dataset
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