Monday, 4 March 2024

Implement Boston housing price prediction problem by Linear regression using Deep Neural network


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:




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