Problem Statement:
Linear regression by using Deep Neural network: Implement Boston housing price prediction
problem by Linear regression using Deep Neural network. Use the Boston House price prediction
dataset.
Implementation:
1. Open https://colab.research.google.com/
2. click on the new notebook.
3. Import all the libraries
4. Read the dataset from the path
5. Do all basic operations on dataset.
6. Exploratory Data Analysis:
7. Training a Linear Regression Model
8. Train Test Split:
9. Creating and Training the Model:
10. Predictions from our Model:
11. Model Evaluation: