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# office206.github.io
blog posts for Lotus/Pourzand Analytics rest here.<commit_msg>Readme drafting<commit_after>[![Gem Version](https://badge.fury.io/rb/jekyll-archives.svg)](http://badge.fury.io/rb/jekyll-archives)
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# office206.github.io
blog posts for Lotus/Pourzand Analytics rest here.

Three Machine Learning Engines:

 * Top Twitter Influencers
 * Pairing Engine
 * Customer Recommandation Engine

And here's some code! :+1: :bowtie:

```javascript
$(pairing_engine(){
  $('div').html('I am a new query from a facebook ad data');
});
```

{'fraction_non_alphanumeric': 0.1835372636262514, 'fraction_numerical': 0.01668520578420467, 'mean_word_length': 5.206896551724138, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 5, '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': '3886335', 'n_tokens_mistral': 352, 'n_tokens_neox': 322, 'n_words': 56}