The Scenario is provided below.

Scenario

You are the manager of a small pizza restaurant with a dining area and local and online delivery.

• Identify one process that is not working well and could use improvement.
• Use ML Tools to gather information about this process.
• Design a method to generate your own data set.
• Design a method to improve the process. Use linear regression or poly regression ML tools to do prediction.
• Use train/test procedure to estimate the performance of machine learning algorithms used to make predictions on your dataset.

Examine and Evaluate the Model

Identify the process that requires improvement. Design your dataset, and use ML tools to perform exploratory data analysis and data wrangling. Apply relevant regression algorithms, examine and predict the model performance using your train/test dataset, and report your findings.

Step 1:Introduction to the Problem

Step 2:Process Identification

Step 3:Design and Uploaded Dataset

Step 4:Data Preparation (Cleansing/Normalization)

Step 5:Selecting Features

Step 6:Linear Regression or Poly Regression ML Tools for Prediction

Step 7:Training the Model

Step 8:Train/Test Split

Step 9:Examining the Model, Computing RSS

Step 10:Scoring the Model r2-Score

Step 11:Evaluating the Model Using Test Data Set

Step 12:Conclusion

Step 13:Challenges

Step 14:Career Skills Obtained

Step 15:Website Link

From each modules submissions, include relevant screenshots, pictures, and explanation slides

Identify necessary process to establish improvements. Demonstrate data preparation using normalization. Demonstrate communication skills in various environments and contexts. Test/Train system utilizing Linear Regression. Build an Evaluate Model with all ML metrics. Implement Score Model for the experiment. Test a system utilizing RSS Computation. Total