Lab | Problems with Machine Learning

Introduction

When working with machine learning algorithms, we might face many different problems. The goal of this lab is for you to deal with the most common ML problems.

Getting Started

Open the ipynb files in your-code directory. Follow the instructions and add your code and explanations as necessary. By the end of this lab, you will have learned how to prepare a dataset for most scikit-learn algorithms.

Deliverables

• main.ipynb with your responses.

Submission

Upon completion, add your deliverables to git. Then commit git and push your branch to the remote.