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@ -13,9 +13,9 @@ data = pd.read_csv('data.csv')
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# Prepare the data
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# Prepare the data
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X = data[['movie title', 'User Rating', 'Director', 'Top 5 Casts', 'Writer']]
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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'].values.astype(float)
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y = data['Rating'].values.astype('float64')
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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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