<commit_before>---
layout: post
title: Doing data science: Grupo Bimbo deliveries
description: Some analysis and an entry into the Kaggle Grupo Bimbo challenge.
modified: 2016-9-11
tags:
  - data science
  - machine learning
  - R
  - statistics
image:
  feature: "bimbo_logo.jpg"
  credit: kaggle
  creditlink: kaggle.com
published: true
---

### Summary

Prep data for time-series predictions using straight-up Python, Hadoop MapReduce, Spark with Scala (all on EC2s), and implement an LSTM neural network (also on an EC2).

<!--more-->

{% include bimbo_ML.html %}<commit_msg>:hammer:<commit_after>---
layout: post
title: Doing data science: Grupo Bimbo deliveries
description: Some analysis and an entry into the Kaggle Grupo Bimbo challenge.
modified: 2016-9-11
tags:
  - data science
  - machine learning
  - R
  - statistics
image:
  feature: "bimbo_logo.jpg"
  credit: kaggle
  creditlink: kaggle.com
published: true
---

### Summary

Prep data for time-series predictions using straight-up Python, Hadoop MapReduce, Spark with Scala (all on EC2s), and implement an LSTM neural network (also on an EC2).

<!--more-->

Testing123
<!--{% include bimbo_ML.html %}-->
{'fraction_non_alphanumeric': 0.10333048676345004, 'fraction_numerical': 0.017933390264730998, 'mean_word_length': 3.84297520661157, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 6, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '7465602', 'n_tokens_mistral': 396, 'n_tokens_neox': 366, 'n_words': 141}