Step 1: Install Anaconda
Step 2: Launch Jupyter Notebook
Step 3: Open mainfile.ipynb
Step 4: Import below Mentioned Libraries
import pandas (it offers data structures and operations for manipulating numerical tables and time series).
from sklearn import metrics (it contains a lot of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction)
import svm (SVM is a supervised and linear Machine Learning algorithm most commonly used for solving classification problems).
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
import matplotlib (It allows you to generate high quality line plots, scatter plots, histograms, bar charts, and much more.)
Step 5: For Plot Graphs Add matplotlib library