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  1. best_model.h5 +2 -2
  2. dataset_20000_rows.csv +0 -0
  3. eda.py +1 -1
  4. t.pickle +2 -2
best_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:f619954d49dfbaf511d493e8da74073896a5f10142fb52f2bf5fb61669946cbb
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- size 77868880
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:bc082d3fb4e9c1881ab0138896f37aea877b279b958d89a04f6b7d1ed663abe3
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+ size 78086992
dataset_20000_rows.csv ADDED
The diff for this file is too large to render. See raw diff
 
eda.py CHANGED
@@ -35,7 +35,7 @@ def run():
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  st.write('Dataset used is amazon review dataset from [kaggle]("https://www.kaggle.com/datasets/yacharki/amazon-reviews-for-sa-binary-negative-positive-csv").')
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  # show dataframe
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- df2 = pd.read_csv('dataset_50000_rows.csv')
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  df2 = df2.drop(['Unnamed: 0'],axis=1)
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  st.dataframe(df2)
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  # add description of Dataset
 
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  st.write('Dataset used is amazon review dataset from [kaggle]("https://www.kaggle.com/datasets/yacharki/amazon-reviews-for-sa-binary-negative-positive-csv").')
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  # show dataframe
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+ df2 = pd.read_csv('dataset_20000_rows.csv')
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  df2 = df2.drop(['Unnamed: 0'],axis=1)
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  st.dataframe(df2)
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  # add description of Dataset
t.pickle CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:942c8fa939686e4632a7964cc2a9e222db65c203a0eaed24032a6a6438751426
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- size 2062767
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:c513d54bf93a4d96ebb764def110154cc00718a8127ca9b271a49691b55e1dc2
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+ size 2069143