teamnassim commited on
Commit
a3c8894
·
1 Parent(s): a00c391

removed unneeded dependecies on app.py

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Files changed (1) hide show
  1. app.py +0 -15
app.py CHANGED
@@ -4,14 +4,11 @@ import streamlit as st
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  # EDA Pkgs
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  import pandas as pd
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  import numpy as np
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- import pickle
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  # Viz Pkgs
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- import matplotlib.pyplot as plt
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  import matplotlib
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  matplotlib.use('Agg')
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  import seaborn as sns
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- from sklearn.linear_model import LinearRegression
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  from sklearn.linear_model import LogisticRegression
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  from sklearn.model_selection import train_test_split
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  from sklearn.preprocessing import MinMaxScaler
@@ -19,19 +16,7 @@ from sklearn.impute import SimpleImputer
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  from sklearn.preprocessing import LabelEncoder
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  from sklearn.preprocessing import OneHotEncoder
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  from sklearn.naive_bayes import GaussianNB
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- import tensorflow as tf
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- from tensorflow import keras
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- from tensorflow.keras import layers
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  from sklearn.metrics import accuracy_score
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- import keras
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- import altair as alt
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- from keras.models import Sequential
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- from keras.layers import Dense
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- from keras.callbacks import History
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- import random
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- import string
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- from pandas.errors import ParserError
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- import matplotlib.cm as cm
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  regressor = LogisticRegression()
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  # EDA Pkgs
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  import pandas as pd
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  import numpy as np
 
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  # Viz Pkgs
 
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  import matplotlib
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  matplotlib.use('Agg')
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  import seaborn as sns
 
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  from sklearn.linear_model import LogisticRegression
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  from sklearn.model_selection import train_test_split
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  from sklearn.preprocessing import MinMaxScaler
 
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  from sklearn.preprocessing import LabelEncoder
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  from sklearn.preprocessing import OneHotEncoder
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  from sklearn.naive_bayes import GaussianNB
 
 
 
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  from sklearn.metrics import accuracy_score
 
 
 
 
 
 
 
 
 
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  regressor = LogisticRegression()
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