yuriybash

import datetime

p1_meetings = [
  (1230, 1300),
  (845, 900),
  (1300, 1500),
]

p2_meetings = [
  (930, 1200),

yuriybash

# data analysis and wrangling
import pandas as pd
import numpy as np
import random as rnd

# visualization
import seaborn as sns
import matplotlib.pyplot as plt
# %matplotlib inline

yuriybash

import sys
import yaml
from os.path import dirname, join

import pandas as pd
import numpy as np
import random as rnd

from scipy import sparse

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models:
  1:
    vectorizer:
      title:
        name: 'tfidf'
        parameters:
          - ngram_range: [[1, 1], [1, 2]]
            max_features: [500]
      url:
        name: 'tfidf'

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# -*- coding: utf-8 -*-

import numpy as np
import boto3
import pickle
from flask import Flask, request, json

BUCKET_NAME = 'non-hacker-news-models'
MODEL_FILE_NAME = 'model.pkl'
T_VECTORIZER_FILE_NAME = 't_vectorizer.pkl'

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import boto
import datetime
import pickle
import sys
import yaml
from os.path import dirname, join
from sklearn.externals import joblib

import pandas as pd
import numpy as np

yuriybash

let’s say you have two text columns: Title and URL. your data looks like this:

```Title,URL,NonEng
slack vs microsoft teams vs google hangouts,techcrunch,0
the costs of universal healthcare,nytimes,1
...```

and you are trying to create a binary classifier (the “NonEng” column)

yuriybash

{% if campaign_setup.preset_name == "dashboard" %}
  {% assign cta_text = "advocate_reward_paid_dashboard_email_button" | localize: "Refer more Friends!" %}
{% elsif campaign_setup.preset_name == "leaderboard" %}
  {% assign cta_text = "advocate_reward_paid_leaderboard_email_button" | localize: "Refer more Friends!" %}
{% else %}
  {% assign cta_text = "advocate_reward_paid_email_button" | localize: "Redeem now" %}
{% endif %}

<table class="body" align="center" style="border-spacing: 0; border-collapse: collapse; vertical-align: top; text-align: left; height: 100%; width: 560px; padding: 0;">
  <tr style="vertical-align: top; text-align: left; padding: 0;" align="left">