g_series_9_intro.py

#import libraries
from datetime import datetime, timedelta,date
import pandas as pd
%matplotlib inline
from sklearn.metrics import classification_report,confusion_matrix
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from __future__ import division
from sklearn.cluster import KMeans


import plotly.plotly as py
import plotly.offline as pyoff
import plotly.graph_objs as go
import plotly.figure_factory as ff

import sklearn
import xgboost as xgb
from sklearn.model_selection import KFold, cross_val_score, train_test_split
import warnings
warnings.filterwarnings("ignore")

#initiate plotly
pyoff.init_notebook_mode()