Getting Started with Kaggle: House Prices Competition

Founded in 2010, Kaggle is a Data Science platform where users can share, collaborate, and compete. One key feature of Kaggle is "Competitions", which offers users the ability to practice on real world data and to test their skills with, and against, an international community. This guide will teach you how to approach and enter a Kaggle competition, including exploring the data, creating and engineering features, building models, and submitting predictions. We'll follow these steps to a successful Kaggle Competition submission: We need to acquire the data for the competition. The descriptions of the features and some other helpful information are contained in a file with an obvious name, data_description.txt. Download the data and save it into a folder where you'll keep everything you need for the competition. We will first look at the train.csv After we've trained a model, we'll make predictions using the test.csv