<jupyter_start><jupyter_text>Project - Parameters with Highest Impact on House Prices ![Data Science Workflow](img/ds-workflow.png)  Goal of Project- A real estate dealer wants to figure out what matters most when selling a house- They provide various sales data- Your job is to figure out which 10 parameters (features) matter the most and present the findings  Step 1: Acquire- Explore problem- Identify data- Import data  Step 1.a: Import libraries- Execute the cell below (SHIFT + ENTER)- NOTE: You might need to install mlxtend, if so, run the following in a cell```!pip install mlxtend```<jupyter_code>import pandas as pd
from sklearn.feature_selection import VarianceThreshold
from sklearn.model_selection import train_test_split
from mlxtend.feature_selection import SequentialFeatureSelector as SFS
from sklearn.linear_model import LinearRegression
from sklearn.metrics import r2_score<jupyter_output><empty_output>
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