In this project, we will build a neural network model to solve a regression problem. We will accomplish this with the help of following tasks in the project:
-Understand the problem statement
-Understand the dataset
-Data normalization
-Train and Test split
-Create a neural network model
-Train the model to fit the dataset
-Evaluate the model
-Visualize the predictions
These are the libraries that we are going to use :
- Tensorflow '2.3.0'
- Pandas
- Sklearn
- Matplotlib