Coursera-MLOps-C2-lab4-greedy-optimization

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Coursera-MLOps-C2-lab4-greedy-optimization

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Greedy optimizations for Coursera MLOps course

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## Lab: Greedy Optimization

### Overview

In this lab, you will work with a greedy change command-line tool and a traveling salesman algorithm. You will modify the command-line tool, reflect on its robustness, and explore ways to enhance the scripts.

### Goals

By the end of this lab, you will:

1. Understand how to modify command-line tools for improved robustness.
2. Learn how to enhance scripts for better performance and functionality.

### Tasks

#### A. Run the greedy change command-line tool

1. Run the greedy change command-line tool: `python greedy_coin.py 1.50`

2. Change the code to have a flag for dollars and flag for cents, i.e., `--dollars` and `--cents`.

**Reflection question:** Is this version of the command-line tool more robust against errors?

**Reflection question:** What could you build to enhance this script? Do it and add it to your portfolio.

#### B. Run the traveling salesman algorithm

1. Run the traveling salesman algorithm: `python tsp.py simulate`

2. What is the optimal number of simulations to run?

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