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I let's start with our cause, and our first one I want to talk about is cost structure.

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So by talking about it, I think it will be easier for to follow the cost.

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So our cost structure will be mainly divided into four parts.

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The first part will be our introduction about our project, which is modulated real estate, and then

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other that we will importing and import the data and also analyzing data by plotting the most likely

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plot seabourne plot and showing the.

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Tata and also destroy the data and I thought we are analyzing that the next I will talk about how to

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build a neural network model.

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So in here we were actually trying to model neural network model and also we will evaluate a model.

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What is the error that we get?

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How how can we improve the model and what is a different type method that will build a model?

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So we will build a neural network model by using an.

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No, we are not what models and also we have a input layer after layer and I would layer and also we

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will evaluate and comparison between linear regression model and neural network model.

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So which one would be better and why should we choose which one will we go for the rotators hat?

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So it is actually a real dataset from the U.S. response.

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Sorry.

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So we'll be analyzing it based on a real dataset and a real problem as well.

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And the final one is.

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Thank you.

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Bye.

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So, uh, I really appreciate you take this call and evaluate the reveal.

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So is the motivation for me to make another cause?

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And also I have another cause.

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I in health care with AZ, which is larger and also I have a big five projects in here where you will

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build more neural network, more training to handle more basic data.

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That will be a lot hotter than this.

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And I hope you enjoy this.

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And this is the end of this video and I will see you in the next video.