<jupyter_start><jupyter_text>Jupyter Data Science Notebook Template<jupyter_code>Title      : jupyter_data_science_model_notebook_template
Author     : <NAME>
Created_at : 2018-01-01
Updated_at : 2018-01-01
Description: Jupyter Data Science Notebook Template
Purpose:
    Imput the Purpose of the Template Here

Steps:
    - Step 1
    - Step 2
    - Step 3
    - Step 4<jupyter_output><empty_output><jupyter_text>Load the librariesLoad All Python libraries required to complete tasks<jupyter_code># Python Library Imports

import sys
import os
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# import statsmodels.api as sm
import sklearn

from scipy import stats
from pandas import Series, DataFrame
from pylab import rcParams
from sklearn import preprocessing
from sklearn.preprocessing import LabelEncoder
from sklearn.linear_model import LogisticRegression
from sklearn.cross_validation import train_test_split
from sklearn import metrics 
from sklearn.metrics import roc_curve, auc,\
    mean_squared_error, r2_score, classification_report,\
    accuracy_score, precision_score, recall_score,\
    confusion_matrix, precision_recall_fscore_support
import statsmodels.formula.api as sm
from statsmodels.stats.outliers_influence import\
    variance_inflation_factor 
cd ../
# Custom Python Library Imports

from config import config
CONFIGS = config.Config.get(env='prod', caller_info=False)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.05102040816326531, 'fraction_numerical': 0.014285714285714285, 'mean_word_length': 5.423580786026201, 'pattern_counts': {'":': 0, '<': 10, '<?xml version=': 0, '>': 10, '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}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '11478', 'license': 'MIT', 'n_tokens_mistral': 464, 'n_tokens_neox': 438, 'n_words': 139, 'path': 'python/general/jupyter/jupyter_data_science_model_notebook_template.ipynb', 'repo_name': 'ChristopherHaydenTodd/ctodd-templates', 'size': '1480'}