My first Machine Learning Project- Kaggle House Price dataset

Entering the beginner competition House Prices: Advanced Regression techniques on Kaggle.

Kaggle is a website that provides resources and competitions for people interested in data science. There are many open data sets that anyone can explore and use to learn data science. As I’m exploring different ML models I want to apply them towards actual data sets. I don’t have much experience working with anything over 100 instances, so this will be fun.

Approaching a machine learning project

I’ve taken the list provided by the book Hands-On Machine Learning with Scikit-Learn & Tensorflow:

1. Frame the problem and look at the big picture
2. Get the data
3. Explore the data to gain insights
4. Prepare the data to better expose the underlying data patterns to ML algorithms
5. Explore different models and take note of the best ones.
6. Fine tune these models and combine them to create a good solution
7. Present your solution
8. Launch, Monitor and maintain your system

This provides with me a clear method to tackling machine learning projects, so let’s start by framing the…