upd51
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@ -16,10 +16,10 @@ X = data[['movie title', 'User Rating', 'Director', 'Top 5 Casts', 'Writer']]
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#y = data['Rating'].apply(lambda x: float(x) if isinstance(x, (int, float)) else np.nan) # Convert 'Rating' column to float data type
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#y = data['Rating'].apply(lambda x: float(x) if isinstance(x, (int, float)) else np.nan) # Convert 'Rating' column to float data type
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#y = pd.Series(data['Rating'], dtype=float)
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#y = pd.Series(data['Rating'], dtype=float)
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y = data['Rating'].astype('float64')
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y = data['Rating'].astype('float64')
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y = y.fillna(y.mean())
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#y = y.fillna(y.mean())
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y = np.array(y)
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#y = np.array(y)
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print("Unique values in 'Rating' column:", data['Rating'].unique())
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print("Data type of 'Rating' column:", y.dtype)
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print("Data type of 'Rating' column:", y.dtype)
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