in the recommend lesson, i can not find reviews_clean.csv file.

I'm looking for the code for the lessons about NLP and ML Pipelines.

file path

The solution file 5_combining_data-solution.ipynb from /lessons/ETLPipelines/5_combinedata_exercise/ has bugs.

The following two value_name are wrong.

df_rural_melt = pd.melt(df_rural,\
                        id_vars=['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code'],\
                       var_name = 'Year', value_name='Electricity_Value')
df_electricity_melt = pd.melt(df_electricity,\
                              id_vars=['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code'],\
                             var_name='Year', value_name='Rural_Value')

They should be:

df_rural_melt = pd.melt(df_rural,\
                        id_vars=['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code'],\
                       var_name = 'Year', value_name='Rural_Value')
df_electricity_melt = pd.melt(df_electricity,\
                              id_vars=['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code'],\
                             var_name='Year', value_name='Electricity_Value')

It would be better if we can add the template files for the disaster response pipeline project to the program repository. There are certain issues in the template files which I want to address.

I am working on the issue and will create a pull request soon.

I would like to checkout the repository in Windows. And I got the following message

Cloning into 'DSND_Term2'...
remote: Enumerating objects: 8, done.
remote: Counting objects: 100% (8/8), done.
remote: Compressing objects: 100% (8/8), done.
remote: Total 763 (delta 1), reused 2 (delta 0), pack-reused 755
Receiving objects: 100% (763/763), 24.24 MiB | 7.21 MiB/s, done.
Resolving deltas: 100% (254/254), done.
error: unable to create file lessons/CRISP_DM/What Happened? - Solution.ipynb: Invalid argument
error: unable to create file lessons/CRISP_DM/What Happened?.ipynb: Invalid argument
fatal: unable to checkout working tree
warning: Clone succeeded, but checkout failed.
You can inspect what was checked out with 'git status'
and retry the checkout with 'git checkout -f HEAD'

I guess it is due to the fact that question mark is not allowed in Windows.

There doesn't seem to be a shirt.py file from which to import the Shirt class

There are three exercises under Software Engineering Practices Part I. Better we add the exercise and solution notebooks to the repository. Currently, students have to download them manually from the workspace.

In question 3 of this notebook, the docstring says: return 1 if the string is in ("Master's degree", "Doctoral", "Professional degree"). However, Doctoral is not one of the values in formal education:

>>> pd.unique(df.FormalEducation)
    array(['Secondary school',
       "Some college/university study without earning a bachelor's degree",
       "Bachelor's degree", 'Doctoral degree', "Master's degree",
       'Professional degree', 'Primary/elementary school',
       'I prefer not to answer', 'I never completed any formal education'],
      dtype=object)

This leads to a change in results, which doesn't seem to effect question 5. However, the group which suggests certain methods more changes in some cases

When I was working on the Web Development lessons, the first div tag hasn't been closed. So it really messed up when adding chart 5.

Hi there,

I tried to run the code, everything was fine until I ran into 4_Collaborative Filtering - Solution file. There is required a pickle file "corrs.p" [ corrs_import = pickle.load(open("corrs.p", "rb")) ].
It would be nice if you could help me this problem.

Thank you so much in advance!!!

Hey,
unfortunately https://github.com/udacity/DSND_Term2/blob/master/lessons/CRISP_DM/Categorical%20Variables%20-%20Solution.ipynb is not accepting correct answers.