lorentepol-ironhack-labs / lab-unsupervised-learning-and-sklearn

Lab | Unsupervised Learning with Scikit-Learn

Introduction

In this lab, we will learn more about scikit-learn and start learning about unsupervised learning.

Getting Started

Open the main.ipynb file in the your-code directory. Follow the instructions and add your code and explanations as necessary. By the end of this lab, you will have learned about the scikit-learn library and about different aspects of linear regression.

Deliverables

• main.ipynb with your responses.

Submission

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

Resources

An introduction to scikit-learn

sklearn.datasets.load_wine

K-Means in scikit-learn

pandas.DataFrame.fillna