AuctionPrice Prediction

Predicting Auction Price for IPL Players

https://en.wikipedia.org/wiki/Ordinary_least_squares

• Multiple Linear Regression

  yi =β0+β1x i1+β2x i2 +...+βp x ip+ϵ

• Libraries

  numpy

  matplot

  pandas

  seaborn

• Multi-collinearity

  Rx = R-squared value of this model

  VIF = 1/1-Rx^2

• HeatMap corr

  

  Here, 1.T-RUNS and ODI-RUNS are highly Correlated.

    2.ODI-WKTS and T-WKTS are highly Correlated.
    
    3.Batsman Features - RUNS-S,HS,AVE,SIXERS are highly Correlated.
    
    4.Bowler's Features - AVE-BL ,ECON and SR-BL are highly Correlated.
  

• R- Squared value 0.75 Training Dataset .

• R- Squared value 0.44 validation Dataset .