Lab 7

1. Implementation of linear regression in Tensorflow using Boston Dataset.
For this task linear regression was implemented using given dataset (Boston housing dataset). Dataset was divided into training and testing data.

• Training dataset was initialized.
• Initialize input variables
• Initialize weights
• Create Linear model
• Calculate mean squared errors
• Calculate gradient
  Output:
  

2.Plot training cost using Matplotlib in python
Matplotlib was used to plot training cost.

Output: