Exercise Solutions about handson-ml HOT 6 CLOSED

Ah, sorry about that, it's definitely in my To-Do list. In the meantime, this code example may help? Please let me know. If you're still stuck in a couple of days, I'll definitely write the solution.

As a sort of excuse, I've been incredibly busy these days, preparing this online training course and this talk at Strata London while helping with the french translation of my book, and that's just during my week-ends, I'm a consultant during the week. Oh boy... ;-)

from handson-ml.

Hi @oanise93, are you still stuck?

from handson-ml.

Thanks for getting back to me. I'm able to make a pipeline that would just do feature selection and then prediction, but I don't see how I could add that data transformation part that is implemented in the beginning of the chapter. I kept getting an error concerning the pipeline not being able to call fit_transform. Below is the pipeline that just does the feature selection and prediction.

selection = Pipeline([
        ('feature_selection', SelectFromModel(RandomForestRegressor(), threshold=0.01)),
        ('estimator', RandomForestRegressor())
    ])

selection.fit(housing_prepared, housing_labels).predict(housing_prepared)```

from handson-ml.

I'll post a solution this week-end.

from handson-ml.

Hi @oanise93,

As promised, I just added exercise solutions for chapter 2. I'll be pushing exercise solutions every few days for the other chapters as well.

Note that user @bjpcjp kindly shared a repo with his own solutions:
https://github.com/bjpcjp/scikit-and-tensorflow-workbooks/

Have fun learning ML!

from handson-ml.

Thanks @ageron!

from handson-ml.