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# Function that plots a Lift Curve using the real label values of a dataset and the probability predictions of a Machine Learning Algorithm/model
# @Params:
# y_val: real labels of the data
# y_pred: probability predictions for such data
# step: how big we want the steps in the percentiles to be

def plot_Lift_curve(y_val, y_pred, step=0.01):
    
    #Define an auxiliar dataframe to plot the curve
    aux_lift = pd.DataFrame()

jaimezorno

#Import the necessary methods from tweepy library
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
import re

# Enter Twitter API Keys
access_token = "ENTER ACCESS TOKEN"
access_token_secret = "ENTER ACCESS TOKEN SECRET"
consumer_key = "ENTER CONSUMER KEY"

jaimezorno

#Import the necessary methods from tweepy library
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream

# Enter Twitter API Keys
access_token = "ENTER ACCESS TOKEN"
access_token_secret = "ENTER ACCESS TOKEN SECRET"
consumer_key = "ENTER CONSUMER KEY"
consumer_secret = "ENTER CONSUMER SECRET"