# -*- coding: utf-8 -*-
"""
Created on Mon Jan 27 09:03:52 2020

@author: santo
"""

# linear algebra
import numpy as np 

# data processing
import pandas as pd 

# data visualization
import seaborn as sns
"""%matplotlib inline"""
from matplotlib import pyplot as plt
from matplotlib import style

# Algorithms
from sklearn import linear_model
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import Perceptron
from sklearn.linear_model import SGDClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC, LinearSVC
from sklearn.naive_bayes import GaussianNB
test_df = pd.read_csv(".\\data\\processed\\test.csv")
train_df = pd.read_csv(".\\data\\processed\\train.csv")

# -*- coding: utf-8 -*-
"""
Created on Mon Jan 27 09:03:52 2020

@author: santo
"""

# linear algebra
import numpy as np 

# data processing
import pandas as pd 

# data visualization
import seaborn as sns
"""%matplotlib inline"""
from matplotlib import pyplot as plt
from matplotlib import style

# Algorithms
from sklearn import linear_model
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import Perceptron
from sklearn.linear_model import SGDClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC, LinearSVC
from sklearn.naive_bayes import GaussianNB
test_df = pd.read_csv(".\\data\\processed\\test.csv")
train_df = pd.read_csv(".\\data\\processed\\train.csv")

# -*- coding: utf-8 -*- Created on Mon Jan 27 09:03:52 2020  @author: santo # linear algebra # data processing # data visualization %matplotlib inline # Algorithms