# Importing Required Libraries ```python #data reading and manipulation packages import pandas as pd import numpy as np import openpyxl as oxl #data visualization packages import matplotlib.pyplot as plt import matplotlib as mlt import seaborn as sns #machine learning packages from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split from sklearn.metrics import r2_score,mean_squared_error from sklearn.linear_model import LogisticRegression ``` # Reading .csv file & performing EDA ## Exploratory Data Analysis ```python #reading .csv file using pandas df = pd.read_csv('boston.csv',sep = ",") df ``` <div> <style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; ...