Cricket scores prediction using linear regression

 

Step1: Importing the Libraries

 

import numpy as np
import pandas as pd 

 

Numpy is for performing numerical calculations.

 

Pandas is for reading CSV files. 

 

 

 

 

Step 2: Reading the CSV files 

 

data = pd.read_csv('Sample scores.csv')

 

 

Step 3: Linear regression using SKLEARN 

 

from sklearn.linear_model import LinearRegression

 

 

Step 4: Data-Visualization 

 

import plotly.express as px
fig = px.scatter(data,x='Overs', y='Scores')
fig.show()

 

 

 

Step 5: Creating dataframes

 

linear_reg = LinearRegression()
x = data.Overs.values.reshape(-1,1)
y = data.Scores.values.reshape(-1,1)

 

 

 

Step 6 : Applying formula on dataframes

 

linear_reg.fit(x,y) 

Step 7: Prediction of 20th over

next_salary = linear_reg.predict([[19]])
print(int(next_salary))

 

Output: 8 runs will be 20th over score.

 

 

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Fullcode : Cricket score prediction

 

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