Prostate Cancer Prediction Using Machine learning

This Project Can be used in B.tech/B.E Colleges students for Minor and Major project work.

97 Men Data has been taken that tells about the level of prostate-specfic antigen and also a number of clinical measures Study is about the relationship between the prostate-specific antigen (psa) and the clinical measures standing for predictor variables.

The data frame consists in 97 observations on 8 predictor variables and the response variable (lpsa).

The prediction modelling is achieved with regression models.

We will applly different regression model on this Data like -

1. Ridge regression
2. Lasso
3. Elastic Net

We will study the influence of regularization on the model.

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