Typos + Review

[lucyleeow]

PR consists mostly of typos.

I can also make the rendered notebooks (what is your procedure for doing this?)

Some suggestions:

01_adult_census_exploration:

• adult_census.profile_report() told us that there are a few duplicate rows. It may be worthwhile explaining how these duplicate entries may affect/not affect prediction?

02_basic_preprocessing

• convergence warning - you explain that this tells us that our model stopped learning because it reached the maximum number of iterations allowed and that scaling the data will help. Can you expand on what convergence means, why increasing the number of allowed iterations is a bad idea and why scaling the data helps?
• explain what the StandardScaler does? Maybe not everyone knows the equation?

03_basic_parameters_tuning

• I think you need to explain more about the hyper-parameter C. Maybe even just give them a useful link to read on regularisation and overfitting?
• For the last cell:

model = make_pipeline(
    preprocessor, LogisticRegressionCV(max_iter=1000, solver='lbfgs', cv=5)
)
score = cross_val_score(model, data, target, n_jobs=4, cv=5)

you don't provide a Cs argument like you do above and it might be worth mentioning that by default it tests a grid of 10 C values.

[glemaitre]

I will port the typo for the 4th notebook and correct the other notebook a little later.