[PYTHON] [Hands-on for beginners] Read kaggle's "Forecasting Home Prices" line by line (8th: Building a Forecast Model)

theme

The 8th project to make a note of the contents of hands-on, where everyone will challenge the famous "House Price" problem of kaggle. It's more of a memo than a commentary, but I hope it helps someone somewhere. The preparations were completed last time, and I am in a state of repeating reflections, saying that I should have studied more statistics at the analysis stage.

Today's work

Building a predictive model

StandardScaler () #scaling

For the time being, read the following article. And today I will write my impressions.

What I found:

Lasso regression model

I will read the following articles for the time being, and write my impressions today (second time).

What I found:

Pipeline construction

What I found:

That's it.

Today, I started to read without writing any code, but it is important to know the background, or if I do it systematically after doing this hands-on, I feel that it will be true.

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