Instructions: 1. Write your Name, Student ID and Serial No. at the provided space. 2. This lab project is for Total 5 marks. 3. Homework MUST be submitted before 08/2/2023 4. IF COPIFD AND SAME PROJECT SUBMITED MARKS WIII. BE RFDUCED. S. No: Level : Section: Name: Academic No: 1. Submit project in BL.ACKBOARD ONLY. 2. Write your information's like name, academic id ete. If submit late marks will be cut. 3. Each group project with minimum 3 and maximum 4 students. Objectives of Mini Projects [5. To understand the concept of simple linear regression [4 To apply simple linear regression on actual dataset to do prediction Project Title: Simple Linear Regression Programing Steps: First explain the concept of the project title: 1. Consider the given dataset ie. HousePrice.csv file (CSV Comma Separated Values) (or any other CSV file) 2. Read CSV data into pandas dataframe object 3. Choose independent variable (X) and dependent variable (Y) from given dataset 4. Find the bo and b1 values to get Y predicted 5. After getting Ypred, calculate the SSE (sum of squared error) 6. Calculate the RMSE (Root Mean Square Error) value 7. Calculate the coefficient of determination (r2)f-square 8. Plot regression line along with the given data points 9. Must inclode the analysis of the program. Note: All Project must contains the following steps a) Data Collection b) Data Prepanation c) Choose a model based on your question d) Train the model e) Evaluate the model f) Parameter tuning g) Make Prediction