when applying model.load_and_clean_data : i get the following error ---------------------------------- ValueError Traceback (most recent call last) <ipython-input-6-7ce9ffbee42e> in <module> ----> 1 model.load_and_clean_data("C:/Users/pc/Desktop/PAYTHON SQL/Absenteeism_new_data.csv") ~\Desktop\PAYTHON SQL\Absenteeism_module.py in load_and_clean_data(self, data_file) 127 128 # we need this line so we can use it in the next functions --> 129 self.data = self.scaler.transform(df) 130 131 # a function which outputs the probability of a data point to be 1 C:\ProgramData\Anaconda3\lib\site-packages\sklearn\preprocessing\_data.py in transform(self, X, copy) 881 882 copy = copy if copy is not None else self.copy --> 883 X = self._validate_data(X, reset=False, 884 accept_sparse='csr', copy=copy, 885 estimator=self, dtype=FLOAT_DTYPES, C:\ProgramData\Anaconda3\lib\site-packages\sklearn\base.py in _validate_data(self, X, y, reset, validate_separately, **check_params) 435 436 if check_params.get('ensure_2d', True): --> 437 self._check_n_features(X, reset=reset) 438 439 return out C:\ProgramData\Anaconda3\lib\site-packages\sklearn\base.py in _check_n_features(self, X, reset) 363 364 if n_features != self.n_features_in_: --> 365 raise ValueError( 366 f"X has {n_features} features, but {self.__class__.__name__} " 367 f"is expecting {self.n_features_in_} features as input.") ValueError: X has 11 features, but StandardScaler is expecting 14 features as input.

Solved : don't work with downloaded files(scaler file and model file) , you just need to work with 'scaler file' and "model file "that you generate using your pc cz working with results of diffrent versions may produce errors.

Hi Azzaz! Thanks for reaching out and sharing the solution of this problem. Indeed, in this exercise, we use several Python libraries and their different versions may sometimes lead to incompatibility. Thank you once again and please don't hesitate to post another question should you encounter other difficulties. Hope this helps. Best, Martin