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# data_visualisation
This project is made in Jupyter Notebook 

Part 1

Data Visualisation on covid vaccines till oct.2021

The Immune System—the Body’s Defense Against Infection
To understand how COVID-19 vaccines work, it helps to first look at how our bodies fight illness. When germs, such as the virus that causes COVID-19,
invade our bodies, they attack and multiply. 
This invasion, called an infection, is what causes illness. 
Our immune system uses several tools to fight infection.
Blood contains red cells, which carry oxygen to tissues and organs, and white or immune cells, which fight infection.
Different types of white blood cells fight infection in different ways:
~INDEX
Importing Libraries
Loading And Reading Data
Data Cleaning
Aanlyze Data

Libraries used :
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
import plotly.graph_objects as go
import warnings
warnings.filterwarnings('ignore')
from random import randint 

SnapShots of results
![image](https://user-images.githubusercontent.com/69759264/167361155-063c6288-449d-41cf-83bc-ae573bd93d03.png)
![image](https://user-images.githubusercontent.com/69759264/167361218-bfe42f43-b663-40e8-a9ca-14c95c2b2975.png)
![image](https://user-images.githubusercontent.com/69759264/167363575-be66f812-a766-4f68-b9ef-beadd8fd0360.png)



Part 2

XGBR vs LINEAR REGRESSION ON BOSTON DATASET

About : Boston is a dataset containing prices of variouis houses based on various different parameters.
I have used to Algorithms to check which performs the best in finding the nearest correct price

Libraries used:
from sklearn import model_selection
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt 
import numpy as np
from sklearn import datasets 
import pandas as pd
import xgboost as xgb
from sklearn.model_selection import cross_val_score, KFold
from sklearn.metrics import mean_squared_error
from sklearn import datasets

SnapShots of results
![image](https://user-images.githubusercontent.com/69759264/167363850-eac4dfff-348e-4374-b135-ffa8f6ba6d53.png)
![image](https://user-images.githubusercontent.com/69759264/167364031-44176fa8-528d-435a-9321-48ecc0431c0f.png)
![image](https://user-images.githubusercontent.com/69759264/167364069-7e1c642c-9cee-4044-85dd-13c6841fa7c5.png)

Thankyou