![SOLVED: # loads the necessary libraries import pandas as pd from sklearn.modelselection import traintestsplit from sklearn.preprocessing import StandardScaler from sklearn.tree import DecisionTreeClassifier from sklearn import datasets from sklearn ... SOLVED: # loads the necessary libraries import pandas as pd from sklearn.modelselection import traintestsplit from sklearn.preprocessing import StandardScaler from sklearn.tree import DecisionTreeClassifier from sklearn import datasets from sklearn ...](https://cdn.numerade.com/ask_images/418d26bacf12427c90e23c3ab4d40c90.jpg)
SOLVED: # loads the necessary libraries import pandas as pd from sklearn.modelselection import traintestsplit from sklearn.preprocessing import StandardScaler from sklearn.tree import DecisionTreeClassifier from sklearn import datasets from sklearn ...
![SOLVED: Write a function to preprocess the data so that we can run it through the regressor. The function should: - If there are any NaN values, fill them with zeros. - SOLVED: Write a function to preprocess the data so that we can run it through the regressor. The function should: - If there are any NaN values, fill them with zeros. -](https://cdn.numerade.com/ask_previews/b80cfa20-22b2-46cb-bd8c-9bcadcbe8c9a_large.jpg)
SOLVED: Write a function to preprocess the data so that we can run it through the regressor. The function should: - If there are any NaN values, fill them with zeros. -
![Feature Engineering for Machine Learning in Python from DataCamp – Page 3 – way to be a data scientist Feature Engineering for Machine Learning in Python from DataCamp – Page 3 – way to be a data scientist](https://datascience103579984.wordpress.com/wp-content/uploads/2019/12/16-13.png?w=860)
Feature Engineering for Machine Learning in Python from DataCamp – Page 3 – way to be a data scientist
![The fit, transform and fit_transform method in standard scaler - Technical Discussions - CloudxLab Discussions The fit, transform and fit_transform method in standard scaler - Technical Discussions - CloudxLab Discussions](https://discuss.cloudxlab.com/uploads/default/optimized/2X/2/2466b9037013bc03dc1416d59fd8be89e50c0e1f_2_1024x576.png)