using jupyter notebook in python

1. Use the log(Salary) (log salary is the natural log of salary. You can use Numpy log function) as your output (y) and the numerical columns as your input (X). You need to replace the salary column in the dataframe with the log of salary. 2. Design a multiple linear regression model for the baseball salary dataset using the RFE and stepwise methodology provided in the sample code.

Link to the data set

https://drive.google.com/drive/folders/1Z4xfdm_JpchimpifJ7MoO8HZHI-gBiwu?usp=sharing

Data set is called Baseball_salary1.csv

ReFE sampel file is called Hw_solution_multilinear_reg_model_model_BBSalary_Sample_Code and could anyone make an explanation of the code is i need to hunderstand it just for the questions

Answer rating: 100% (QA)

To accomplish the tasks you mentioned in Jupyter Notebook using Python youll first need to load the dataset Baseballsalary1csv and then follow these s... View the full answer