Fixed reading faulty inputs from file date column, convert them to NaN instead...

Fixed reading faulty inputs from file date column, convert them to NaN instead and then edit them out of dataframe

Project_data_processor_ML.py

@@ -67,7 +67,7 @@ def genre_data_aggregation(data, interval):
     data["genres"] = data["genres"].apply(lambda x: str(x).split(","))
 
     # preprocess the release date column into the pandas datetime format
-    data['release_date'] = pd.to_datetime(data['release_date'], dayfirst=True, format="mixed")
+    data['release_date'] = pd.to_datetime(data['release_date'], dayfirst=True, format="mixed", errors='coerce')
     
     # remove whitespaces
     data['genres'] = data['genres'].map(lambda x: list(map(str.strip, x)))