Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

t Question 1 072 pts What data processing is this code for? from sklearn. impute import IterativeImputer from sklearn. linear_model import LinearRegression df = pd.

image text in transcribed
t Question 1 072 pts What data processing is this code for? from sklearn. impute import IterativeImputer from sklearn. linear_model import LinearRegression df = pd. DataFrame([[1, 2, np.nan), [3, 4, 3), [np.nan, 6, 5), [8, 8, 711) # 1) create a imputer instance imp = Iterative Imputer(estimator=LinearRegression()) # 2) train (update) the imputer with fit method # 3) transform the data to the clean one t_df = imp.fit_transform(df) print(df) print (pd.DataFrame(t_df)) Data Cleaning Data Reduction Data Transformation Data Discretization

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

JDBC Database Programming With J2ee

Authors: Art Taylor

1st Edition

0130453234, 978-0130453235

More Books

Students also viewed these Databases questions

Question

6. What is process reengineering? Why is it relevant to training?

Answered: 1 week ago