I let's start with our cause, and our first one I want to talk about is cost structure.
So by talking about it, I think it will be easier for to follow the cost.
So our cost structure will be mainly divided into four parts.
The first part will be our introduction about our project, which is modulated real estate, and then
other that we will importing and import the data and also analyzing data by plotting the most likely
plot seabourne plot and showing the.
Tata and also destroy the data and I thought we are analyzing that the next I will talk about how to
build a neural network model.
So in here we were actually trying to model neural network model and also we will evaluate a model.
What is the error that we get?
How how can we improve the model and what is a different type method that will build a model?
So we will build a neural network model by using an.
No, we are not what models and also we have a input layer after layer and I would layer and also we
will evaluate and comparison between linear regression model and neural network model.
So which one would be better and why should we choose which one will we go for the rotators hat?
So it is actually a real dataset from the U.S. response.
Sorry.
So we'll be analyzing it based on a real dataset and a real problem as well.
And the final one is.
Thank you.
Bye.
So, uh, I really appreciate you take this call and evaluate the reveal.
So is the motivation for me to make another cause?
And also I have another cause.
I in health care with AZ, which is larger and also I have a big five projects in here where you will
build more neural network, more training to handle more basic data.
That will be a lot hotter than this.
And I hope you enjoy this.
And this is the end of this video and I will see you in the next video.