Hi guy I was watching Machine Learning A- Z from [SuperDataScience][1] but when I was doing below code sample:

 import numpy as np
 import matplotlib.pyplot as plt
 import pandas as pd
 
 
 dataset = pd.read_csv('Data.csv')
 X = dataset.iloc[:, :-1].values
 
 from sklearn.impute import SimpleImputer
 imputer = SimpleImputer(missing_values=np.nan, strategy='mean')
 imputer = imputer.fit(X[:, 1:3])
 X[:, 1:3]= imputer.transform(X[:,1:3])
 
 
 from sklearn.preprocessing import LabelEncoder, OneHotEncoder
 labelencoder_X = LabelEncoder()
 X[:, 0] = labelencoder_X.fit_transform(X[:, 0])
 onehotencoder = OneHotEncoder(categorical_features =[0])
 X = onehotencoder.fit_transform(X).toarray()

I got this warning message:
/usr/local/lib/python3.5/dist-packages/sklearn/preprocessing/_encoders.py:363: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.
If you want the future behaviour and silence this warning, you can specify "categories='auto'".
In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.
 warnings.warn(msg, FutureWarning)
/usr/local/lib/python3.5/dist-packages/sklearn/preprocessing/_encoders.py:385: DeprecationWarning: The 'categorical_features' keyword is deprecated in version 0.20 and will be removed in 0.22. You can use the ColumnTransformer instead.
 "use the ColumnTransformer instead.", DeprecationWarning)
And this below message also

/usr/local/lib/python3.5/dist-packages/sklearn/preprocessing/_encoders.py:363: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.
If you want the future behaviour and silence this warning, you can specify "categories='auto'".
In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.
 warnings.warn(msg, FutureWarning)
/usr/local/lib/python3.5/dist-packages/sklearn/preprocessing/_encoders.py:385: DeprecationWarning: The 'categorical_features' keyword is deprecated in version 0.20 and will be removed in 0.22. You can use the ColumnTransformer instead.
 "use the ColumnTransformer instead.", DeprecationWarning)
I was reading ColumnTransfer in sklearn website library I didn't understand how to fix these error messages


SampleFile:[Data.csv][2]


 [1]: https://superdatascience.com/machine-learning
 [2]: http://s8.picofile.com/file/8342539418/Data.csv.html