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Starter project code for students taking Udacity ud120

Python 9.20% DIGITAL Command Language 90.80%

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Project Title

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For Members of the this project Contributors Team

Clone the repo and create a branch

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Make sure to update, or add to the tests when appropriate. Patches and
features will not be accepted without tests. Run npm test to check that all tests
pass after you've made changes. Look for a Testing section in
the project’s README for more information.
If you added or changed a feature, make sure to document it accordingly in
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```
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```
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Optionally, you can help us with these things. But don’t worry if they are too
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```
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Issues

Issue open :
It is not just fun.If there is really the bug or issue or suggestion the create an issue or make a pull request.

Relative Paths Are Broken

I've been getting in import error when trying to import preprocess and it's stopping me from moving forward with the Naive Bayes mini project. I hardcoded it and got the following error message

Traceback (most recent call last):                  
  File "naive_bayes/nb_author_id.py", line 22, in <module>                                               
    features_train, features_test, labels_train, labels_test = preprocess()                              
  File "/home/caldwellysr/Documents/Udacity/MachineLearning/ud120-projects/tools/email_preprocess.py", line 32, in preprocess                                                                                      
    authors_file_handler = open(authors_file, "r")  
IOError: [Errno 2] No such file or directory: '../tools/email_authors.pkl'

outlier_cleaner.py

While writing the code for "OutlierCleaner " function , one should assume that , inputs to the function are
multidimensional numpy array.

_pickle.UnpicklingError: the STRING opcode argument must be quoted

line 37 un email_preprocess.py file. i'm on python 3.5. I'm using pickle to load the file where it reports the error.

Import Error No module named sklearn

i initially got this message using naive bayes along with a host of other python 3 problems after fixing the python 3 problems and reinstalling skleran using pip the code worked fine; then i used the svm code to access email processes and i have begun to get the same error i made a virtual env and installed skleran in that but i still get the same error.

the work around i found was to delete the line of code #!/usr/bin/python or to add another # and make it into a comment, that's how it worked in my naive bayes i had added another # and commented it out, or use the code #!/usr/bin/python3.
because #!/usr/bin/python defaults to python 2 and i had installed sklearn for python 3

ImportError: No module named email_preprocess

%run "/home/abhiteshd/Documents/Abhitesh _docs/Abhitesh/BITS/Semester-4 (June 2016)/udacity/projects/naive_bayes/nb_author_id.py"

ImportError Traceback (most recent call last)
/home/abhiteshd/Documents/Abhitesh _docs/Abhitesh/BITS/Semester-4 (June 2016)/udacity/projects/naive_bayes/nb_author_id.py in ()
14 from time import time
15 sys.path.append("../tools/")
---> 16 from email_preprocess import preprocess
17
18

ImportError: No module named email_preprocess

Editor used: Canopy
OS: Ubuntu

Please help. Thanks :)

Command "python setup.py egg_info" fails with error code 1 while trying to install class_vis.py

I am trying to install class_vis.py on Mac OS Sierra Python3.6.1 by "sudo -H pip install git+https://github.com/udacity/ud120-projects.git#egg=class_vis.py".

This is what I get:

Collecting class_vis.py from git+https://github.com/udacity/ud120-projects.git#egg=class_vis.py
Cloning https://github.com/udacity/ud120-projects.git to /private/tmp/pip-build-Wmqo1s/class-vis.py
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
File "", line 1, in
IOError: [Errno 2] No such file or directory: '/private/tmp/pip-build-Wmqo1s/class-vis.py/setup.py'

----------------------------------------

Command "python setup.py egg_info" failed with error code 1 in /private/tmp/pip-build-Wmqo1s/class-vis.py/

I tried updating pip and installing supertools but neither worked. Any help would be appreciated.

Bad import in pca/eigenfaces.py

The import

import pylab as pl

should be changed to

import matplotlib.pyplot as pl

in order to work with the latest versions of libraries.

Data in final dataset is not correct

There is bad data in final dataset pickle. Some of the records do not match data in enron61702insiderpay.pdf. For example see the record for BELFER ROBERT in pdf:

https://www.dropbox.com/s/423oieglmhpmhxd/Screenshot%202016-03-08%2021.36.43.png?dl=0

And in dataset:

import pickle
from pprint import pprint
with open("final_project_dataset.pkl", "r") as data_file:
    data_dict = pickle.load(data_file)

pprint(data_dict['BELFER ROBERT'])
# OUT: {'bonus': 'NaN',
# OUT:  'deferral_payments': -102500,
# OUT:  'deferred_income': 'NaN',
# OUT:  'director_fees': 3285,
# OUT:  'email_address': 'NaN',
# OUT:  'exercised_stock_options': 3285,
# OUT:  'expenses': 'NaN',
# OUT:  'from_messages': 'NaN',
# OUT:  'from_poi_to_this_person': 'NaN',
# OUT:  'from_this_person_to_poi': 'NaN',
# OUT:  'loan_advances': 'NaN',
# OUT:  'long_term_incentive': 'NaN',
# OUT:  'other': 'NaN',
# OUT:  'poi': False,
# OUT:  'restricted_stock': 'NaN',
# OUT:  'restricted_stock_deferred': 44093,
# OUT:  'salary': 'NaN',
# OUT:  'shared_receipt_with_poi': 'NaN',
# OUT:  'to_messages': 'NaN',
# OUT:  'total_payments': 102500,
# OUT:  'total_stock_value': -44093}

Comparing numbers:

field	pdf	dataset
deferred income	-102500	NaN
deferral payments	-	-102500
expenses	3285	NaN
exercised stock options	-	3285
restricted stock	44093	NaN
restricted stock deferred	-44093	44093
total stock value	-	-44093

Can't download dataset

I can't download the dataset. Here is the output from the console:

/System/Library/Frameworks/Python.framework/Versions/2.7/bin/python2.7 /Users/iamtodor/machine-learning/projects/ud120-projects/tools/startup.py

checking for nltk
you should install nltk before continuing
checking for numpy
checking for scipy
checking for sklearn
you should install sklearn before continuing

downloading the Enron dataset (this may take a while)
to check on progress, you can cd up one level, then execute <ls -lthr>
Enron dataset should be last item on the list, along with its current size
download will complete at about 423 MB

And it's nothing moves. Here are no any updates. It freezes.
Could you please help me?

module 'urllib' has no attribute 'urlretrieve'

Hi,

When i am trying to run startup.py script under tools folder, it is throwing below exception.

Exception: module 'urllib' has no attribute 'urlretrieve'

I am using Python 3.6 version with Anaconda. Also when i am trying to install urllib, it is saying no module called urllib.

The script working fine when i change like below.

import urllib.request
urllib.request.urlretrieve(url, filename="../enron_mail_20150507.tgz")

Thanks

x-y swap in scatter plot in choose_your_own/class_vis.py

Hi
this line -- plt.scatter(grade_sig, bumpy_sig, color = "b", label="fast") should actually be plt.scatter(bumpy_sig, grade_sig, color = "b", label="fast")
Similarly next line too. Basically x and y values need swap.
That's because xlabel is bumpiness and ylabel is grade.
This isn't visible to the eye in the plot because of the similarity of the two features (and they are random).
Similar in your_algorithm too.

Vikram.

featureFormat remove_any_zeroes=False returns 0 records.

The following if statement -
if remove_all_zeroes:
all_zeroes = True
for item in tmp_list:
if item != 0 and item != "NaN":
append = True
Is missing an else clause
else:
append = True

ImportError: No module named numpy

(Lesson1-MINI PROJECT)
On running this command python nb_author_id.py from naive_bayes folder

Got this error

Traceback (most recent call last):
File "nb_author_id.py", line 16, in
from email_preprocess import preprocess
File "../tools/email_preprocess.py", line 5, in
import numpy
ImportError: No module named numpy

Please help!!

19. Quiz GuassianNB Deployment

Traceback (most recent call last):
File "vm_main.py", line 33, in
import main
File "/tmp/vmuser_qleklyiyim/main.py", line 2, in
import studentMain
File "/tmp/vmuser_qleklyiyim/studentMain.py", line 13, in
from ClassifyNB import classify
File "/tmp/vmuser_qleklyiyim/ClassifyNB.py", line 3
from sklearn.naive_bayes import GuassianNB
^
IndentationError: expected an indented block

kindly help me in this
i am getting this error

Python 3 support

I am used to using Python 3, and I found the code support Python 2 only. So Is there any reason to have to use python 2?

Miniproject 11: parse_out_email_text.py initial code begins with the stemmer

In the Warming Up with parseOutText() part of the mini-project, I was frustrated to find that following the instructions, which gave me the text, "hi everyon if you can read this messag your proper use parseouttext pleas proceed to the next part of the project", resulted in a wrong answer.

I moved on to the next subproject and learned that I was supposed to augment the function with a stemmer. So, I suspect that a pull request by someone who had already completed that part of the project accidentally got merged.

Memory Error

When running nb_author_id.py, i get this in the logcat

Traceback (most recent call last):
File "C:/Users/burha/PycharmProjects/ud120-projects/naive_bayes/nb_author_id.py", line 30, in
clf.fit(features_train, labels_train)
File "C:\Users\user\AppData\Local\Programs\Python\Python36-32\lib\site-packages\sklearn\naive_bayes.py", line 184, in fit
sample_weight=sample_weight)
File "C:\Users\user\AppData\Local\Programs\Python\Python36-32\lib\site-packages\sklearn\naive_bayes.py", line 341, in _partial_fit
epsilon = 1e-9 * np.var(X, axis=0).max()
File "C:\Users\user\AppData\Local\Programs\Python\Python36-32\lib\site-packages\numpy\core\fromnumeric.py", line 3146, in var
**kwargs)
File "C:\Users\user\AppData\Local\Programs\Python\Python36-32\lib\site-packages\numpy\core_methods.py", line 112, in _var
x = asanyarray(arr - arrmean)
MemoryError

I am on Windows 10 64bit core i5 8 gb ram.

How should I solve this ?

Naive Bayes, can't preprocess/unpack data set

Hi,

I'm trying to do the naive bayer classier but I'm having a very basic problem. When I run the nb_author_id python script I get an error message within the 'preprocess function'.

authors_file_handler = open(authors_file, "r")
IOError: [Errno 2] No such file or directory: '../tools/email_authors.pkl'

I checked, the 'email_authors.pkl' file is in the /tools directory as is the 'word_data.pkl' the fiction has to also open in order to create the data set. The 'email_preprocess.py' script is in the same directory.

my python version: 2.7.13

Sample Solutions for enron datasets questions?

Problem in tests of naive_bayes :"no module named 'email_preprocess'"

Cannot download enron_mail_20150507.tgz

The link in startup.py, https://www.cs.cmu.edu/~./enron/enron_mail_20150507.tgz doesn't work so i cannot download the enron data. All i get is HTTP Error 404 Document not found.

Sample solutions?

Are there any sample solutions to mini-projects available? How it should be done and how to plot data in matplotlib?

No such file or directory: 'word_data_overfit.pkl'

Hi.
In the feature_selection mini project there are imports of word_data_overfit.pkl and email_authors_overfit.pkl, but there are no such files.
How to get those files?
Thank you.

linux installation

Hi
I had some problems with the tools/startup.py script:

I'm in my work environment so there is a proxy, this fact cause SSL error when downloading enron_mail_20150507.tgz from https://www.cs.cmu.edu/~./enron/enron_mail_20150507.tgz.
This could be easily be solved by downloading the same file by using HTTP (instead of HTTPS).
The issue is very simliar to weecology/retriever#268
Extracting the file took very long time, mainly because of huge memory consumption.
running simple linux command of tar xzf enron_mail_20150507.tgz exctract the same file within seconds.
So consider adding the following bash script for linux users:

#!/bin/bash

echo
echo "downloading the Enron dataset (this may take a while)"
echo "to check on progress, you can cd up one level, then execute <ls -lthr>"
echo "Enron dataset should be last item on the list, along with its current size"
echo "download will complete at about 423 MB"
url="http://www.cs.cmu.edu/~./enron/enron_mail_20150507.tgz"
cd ..
curl $url -o enron_mail_20150507.tgz
echo "download complete!"

echo
echo "unzipping Enron dataset (this may take a while)"
tar xzf enron_mail_20150507.tgz
echo "you're ready to go!"

3.6 Conversion

Below is some code which converts email_preprocess in tools to python 3.x, hopes this helps. (Sorry unable to do a push)

import pickle
import numpy

from sklearn import cross_validation
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_selection import SelectPercentile, f_classif

def preprocess(words_file = "../tools/word_data_unix.pkl", authors_file="../tools/email_authors.pkl"):
"""
this function takes a pre-made list of email texts (by default word_data.pkl)
and the corresponding authors (by default email_authors.pkl) and performs
a number of preprocessing steps:
-- splits into training/testing sets (10% testing)
-- vectorizes into tfidf matrix
-- selects/keeps most helpful features

    after this, the feaures and labels are put into numpy arrays, which play nice with sklearn functions

    4 objects are returned:
        -- training/testing features
        -- training/testing labels

"""
"""
convert dos linefeeds (crlf) to unix (lf)
usage: dos2unix.py 
"""
original = "../tools/word_data.pkl"
destination = "../tools/word_data_unix.pkl"

content = ''
outsize = 0
with open(original, 'rb') as infile:
    content = infile.read()
    with open(destination, 'wb') as output:
        for line in content.splitlines():
            outsize += len(line) + 1
            output.write(line + str.encode('\n'))

print("Done. Saved %s bytes." % (len(content)-outsize))
  
### the words (features) and authors (labels), already largely preprocessed
### this preprocessing will be repeated in the text learning mini-project
authors_file_handler = open(authors_file, "rb")
authors = pickle.load(authors_file_handler)
authors_file_handler.close()

words_file_handler = open(words_file, "rb")
word_data = pickle.load(words_file_handler)
words_file_handler.close()

### test_size is the percentage of events assigned to the test set
### (remainder go into training)
features_train, features_test, labels_train, labels_test = cross_validation.train_test_split(word_data, authors, test_size=0.1, random_state=42)



### text vectorization--go from strings to lists of numbers
vectorizer = TfidfVectorizer(sublinear_tf=True, max_df=0.5,
                             stop_words='english')
features_train_transformed = vectorizer.fit_transform(features_train)
features_test_transformed  = vectorizer.transform(features_test)



### feature selection, because text is super high dimensional and 
### can be really computationally chewy as a result
selector = SelectPercentile(f_classif, percentile=10)
selector.fit(features_train_transformed, labels_train)
features_train_transformed = selector.transform(features_train_transformed).toarray()
features_test_transformed  = selector.transform(features_test_transformed).toarray()

### info on the data
print ("no. of Chris training emails:", sum(labels_train))
print ("no. of Sara training emails:", len(labels_train)-sum(labels_train))

return features_train_transformed, features_test_transformed, labels_train, labels_test

print clarification

Hi,

All udacity machine learning python scripts are using print statements in the following way.

print "Hello World"

But when i am executing the script, expecting parenthesis. When i run the script by modifying with parenthesis, executing successfully. May i know what might be the reason. I am using Python 3.6 with Anaconda.

Thanks

featureFormat() doesn't handle string features

featureFormat() barfs on the Enron dataset because of the 'email_address' feature (key) in the dictionary after it gets unpickled.

I'm using the function like this (from the 'datasets_questions' directory within the source tree):

import os
import pickle
import random
import re
import sys
sys.path.append(os.path.abspath('../tools'))
from feature_format import featureFormat

enron_data = pickle.load(open("../final_project/final_project_dataset.pkl", "r"))
choice = random.choice(enron_data.keys())
enron_np = featureFormat(enron_data, enron_data[choice].keys())
print(enron_np)`

This fails with an exception:

`Traceback (most recent call last):
  File "explore_enron_data.py", line 29, in <module>
    enron_np = featureFormat(enron_data, enron_data[choice].keys())
  File "/home/pisymbol/Development/ud120-projects/tools/feature_format.py", line 75, in featureFormat
    tmp_list.append( float(value) )
ValueError: could not convert string to float: [email protected]

A simple type check fixes this:

diff --git a/tools/feature_format.py b/tools/feature_format.py
index 7ca78ac..39367a6 100644
--- a/tools/feature_format.py
+++ b/tools/feature_format.py
@@ -72,7 +72,10 @@ def featureFormat( dictionary, features, remove_NaN=True, remove_all_zeroes=True
             value = dictionary[key][feature]
             if value=="NaN" and remove_NaN:
                 value = 0
-            tmp_list.append( float(value) )
+            if type(value) == int:
+                tmp_list.append( float(value) )
+            else:
+                tmp_list.append( value )

         # Logic for deciding whether or not to add the data point.
         append = True

With the above diff, my output is now:

[['365788.0' '807.0' '0.0' ..., '0.0' '[email protected]' '38.0']
 ['267102.0' '0.0' '1295738.0' ..., '1586055.0' '0.0' '0.0']
 ['170941.0' '0.0' '0.0' ..., '0.0' '[email protected]' '0.0']
 ...,
 ['265214.0' '533.0' '227449.0' ..., '0.0' '[email protected]'
  '0.0']
 ['278601.0' '865.0' '0.0' ..., '0.0' '[email protected]' '188.0']
 ['274975.0' '873.0' '0.0' ..., '71023.0' '[email protected]' '52.0']]

Or perhaps I'm using the function incorrectly?

If not, I could also open a merge request. Let me know.

Was Enron emails directory removed from tools/. ??

I am unable to find the enron_mail_20110402/ directory in this repo.
The code from text_learning is bugging due to this. :(
Was that directory removed ? Is it available somewhere else ?

-Gaurav

Incorrect data in final project

There are differences between enron61702insiderpay.pdf and final_project_dataset.pkl.

Exporting JSON from final_project_dataset.pkl:

import json
data_dict = pickle.load(open("final_project_dataset.pkl", "r"))
with open("data.json", "w") as outfile:
    json.dump(data_dict, outfile, indent=4, separators=(",", ": "))
exit()

Example: BELFER, ROBERT A

JSON from final_project_dataset.pkl:

"BELFER ROBERT": {
  "salary": "NaN",
  "to_messages": "NaN",
  "deferral_payments": -102500,
  "total_payments": 102500,
  "exercised_stock_options": 3285,
  "bonus": "NaN",
  "restricted_stock": "NaN",
  "shared_receipt_with_poi": "NaN",
  "restricted_stock_deferred": 44093,
  "total_stock_value": -44093,
  "expenses": "NaN",
  "loan_advances": "NaN",
  "from_messages": "NaN",
  "other": "NaN",
  "from_this_person_to_poi": "NaN",
  "poi": false,
  "director_fees": 3285,
  "deferred_income": "NaN",
  "long_term_incentive": "NaN",
  "email_address": "NaN",
  "from_poi_to_this_person": "NaN"
},

Differences between enron61702insiderpay.pdf and final_project_dataset.pkl.

lines that differ are highlighted

Key	pdf	pkl
Salary	NaN	NaN
Bonus	NaN	NaN
Long Term Incentive	NaN	NaN
Deferred Income	102500	NaN
Deferral Payments	NaN	-102500
Loan Advances	NaN	NaN
Other	NaN	NaN
Expenses	3285	NaN
Director Fees	102500	3285
Total Payments	3285	102500
Exercised Stock Options	NaN	3285
Restricted Stock	44093	NaN
Restricted Stock Deferred	44093	44093
Total Stock Value	NaN	-44093

BELFER, ROBERT A in enron61702insiderpay.pdf:

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        "from_poi_to_this_person": "NaN"
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        "email_address": "[email protected]",
        "from_poi_to_this_person": 0
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        "bonus": 1250000,
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        "from_messages": 144,
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        "deferred_income": -262500,
        "long_term_incentive": 375304,
        "email_address": "[email protected]",
        "from_poi_to_this_person": 199
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    "RICE KENNETH D": {
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        "total_stock_value": 22542539,
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        "from_poi_to_this_person": 42
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    "KAMINSKI WINCENTY J": {
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        "deferred_income": "NaN",
        "long_term_incentive": 323466,
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        "from_poi_to_this_person": 41
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    "LOCKHART EUGENE E": {
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        "exercised_stock_options": "NaN",
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        "long_term_incentive": "NaN",
        "email_address": "NaN",
        "from_poi_to_this_person": "NaN"
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        "email_address": "[email protected]",
        "from_poi_to_this_person": 0
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        "deferred_income": "NaN",
        "long_term_incentive": 135836,
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        "from_poi_to_this_person": "NaN"
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        "poi": false,
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        "from_poi_to_this_person": "NaN"
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        "email_address": "[email protected]",
        "from_poi_to_this_person": "NaN"
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        "deferred_income": "NaN",
        "long_term_incentive": 1920000,
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        "from_poi_to_this_person": 88
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        "bonus": "NaN",
        "restricted_stock": "NaN",
        "shared_receipt_with_poi": "NaN",
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        "total_stock_value": "NaN",
        "expenses": 1279,
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        "from_this_person_to_poi": "NaN",
        "poi": false,
        "director_fees": 113784,
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        "email_address": "NaN",
        "from_poi_to_this_person": "NaN"
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        "restricted_stock": 405999,
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        "total_stock_value": 1832468,
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        "loan_advances": "NaN",
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        "from_this_person_to_poi": 18,
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        "director_fees": "NaN",
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        "from_poi_to_this_person": 39
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        "restricted_stock": 208809,
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        "total_stock_value": 1095040,
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        "other": "NaN",
        "from_this_person_to_poi": "NaN",
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        "deferred_income": "NaN",
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        "email_address": "[email protected]",
        "from_poi_to_this_person": "NaN"
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        "bonus": "NaN",
        "restricted_stock": "NaN",
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        "director_fees": "NaN",
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        "email_address": "NaN",
        "from_poi_to_this_person": "NaN"
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    "PICKERING MARK R": {
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        "total_stock_value": 28798,
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        "director_fees": "NaN",
        "deferred_income": "NaN",
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        "email_address": "[email protected]",
        "from_poi_to_this_person": 7
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        "total_payments": 362096,
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        "poi": false,
        "director_fees": "NaN",
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        "email_address": "NaN",
        "from_poi_to_this_person": "NaN"
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        "email_address": "NaN",
        "from_poi_to_this_person": "NaN"
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        "long_term_incentive": 300000,
        "email_address": "[email protected]",
        "from_poi_to_this_person": 140
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        "total_stock_value": 1884748,
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        "loan_advances": "NaN",
        "from_messages": 36,
        "other": "NaN",
        "from_this_person_to_poi": 0,
        "poi": false,
        "director_fees": "NaN",
        "deferred_income": "NaN",
        "long_term_incentive": "NaN",
        "email_address": "[email protected]",
        "from_poi_to_this_person": 0
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        "total_stock_value": 2056427,
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        "email_address": "[email protected]",
        "from_poi_to_this_person": "NaN"
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        "from_poi_to_this_person": 24
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        "restricted_stock": 44093,
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        "email_address": "NaN",
        "from_poi_to_this_person": "NaN"
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        "total_payments": 84992,
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        "total_stock_value": "NaN",
        "expenses": 1413,
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        "from_this_person_to_poi": "NaN",
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        "director_fees": 108579,
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        "long_term_incentive": "NaN",
        "email_address": "NaN",
        "from_poi_to_this_person": "NaN"
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    "BROWN MICHAEL": {
        "salary": "NaN",
        "to_messages": 1486,
        "deferral_payments": "NaN",
        "total_payments": 49288,
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        "bonus": "NaN",
        "restricted_stock": "NaN",
        "shared_receipt_with_poi": 761,
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        "total_stock_value": "NaN",
        "expenses": 49288,
        "loan_advances": "NaN",
        "from_messages": 41,
        "other": "NaN",
        "from_this_person_to_poi": 1,
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        "director_fees": "NaN",
        "deferred_income": "NaN",
        "long_term_incentive": "NaN",
        "email_address": "[email protected]",
        "from_poi_to_this_person": 13
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    "BADUM JAMES P": {
        "salary": "NaN",
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        "deferral_payments": 178980,
        "total_payments": 182466,
        "exercised_stock_options": 257817,
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        "shared_receipt_with_poi": "NaN",
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        "total_stock_value": 257817,
        "expenses": 3486,
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        "total_stock_value": 3745048,
        "expenses": "NaN",
        "loan_advances": "NaN",
        "from_messages": 29,
        "other": "NaN",
        "from_this_person_to_poi": 0,
        "poi": false,
        "director_fees": "NaN",
        "deferred_income": "NaN",
        "long_term_incentive": "NaN",
        "email_address": "[email protected]",
        "from_poi_to_this_person": 0
    },
    "DONAHUE JR JEFFREY M": {
        "salary": 278601,
        "to_messages": 865,
        "deferral_payments": "NaN",
        "total_payments": 875760,
        "exercised_stock_options": 765920,
        "bonus": 800000,
        "restricted_stock": 315068,
        "shared_receipt_with_poi": 772,
        "restricted_stock_deferred": "NaN",
        "total_stock_value": 1080988,
        "expenses": 96268,
        "loan_advances": "NaN",
        "from_messages": 22,
        "other": 891,
        "from_this_person_to_poi": 11,
        "poi": false,
        "director_fees": "NaN",
        "deferred_income": -300000,
        "long_term_incentive": "NaN",
        "email_address": "[email protected]",
        "from_poi_to_this_person": 188
    },
    "GLISAN JR BEN F": {
        "salary": 274975,
        "to_messages": 873,
        "deferral_payments": "NaN",
        "total_payments": 1272284,
        "exercised_stock_options": 384728,
        "bonus": 600000,
        "restricted_stock": 393818,
        "shared_receipt_with_poi": 874,
        "restricted_stock_deferred": "NaN",
        "total_stock_value": 778546,
        "expenses": 125978,
        "loan_advances": "NaN",
        "from_messages": 16,
        "other": 200308,
        "from_this_person_to_poi": 6,
        "poi": true,
        "director_fees": "NaN",
        "deferred_income": "NaN",
        "long_term_incentive": 71023,
        "email_address": "[email protected]",
        "from_poi_to_this_person": 52
    }
}

Problem while downloading the dataset

https://www.cs.cmu.edu/~./enron/enron_mail_20150507.tar.gz file size is exceeding 1.5GB whereas the description says that its only ~430MB. Any idea?

Error python startup.py link is broken

python startup.py

checking for nltk
you should install nltk before continuing
checking for numpy
you should install numpy before continuing
checking for scipy
you should install scipy before continuing
checking for sklearn
you should install sklearn before continuing

downloading the Enron dataset (this may take a while)
to check on progress, you can cd up one level, then execute <ls -lthr>
Enron dataset should be last item on the list, along with its current size
download will complete at about 423 MB
Traceback (most recent call last):
File "startup.py", line 35, in
urllib.urlretrieve(url, filename="../enron_mail_20150507.tgz")
File "/usr/lib64/python2.7/urllib.py", line 94, in urlretrieve
return _urlopener.retrieve(url, filename, reporthook, data)
File "/usr/lib64/python2.7/urllib.py", line 240, in retrieve
fp = self.open(url, data)
File "/usr/lib64/python2.7/urllib.py", line 208, in open
return getattr(self, name)(url)
File "/usr/lib64/python2.7/urllib.py", line 437, in open_https
h.endheaders(data)
File "/usr/lib64/python2.7/httplib.py", line 1013, in endheaders
self._send_output(message_body)
File "/usr/lib64/python2.7/httplib.py", line 864, in _send_output
self.send(msg)
File "/usr/lib64/python2.7/httplib.py", line 826, in send
self.connect()
File "/usr/lib64/python2.7/httplib.py", line 1227, in connect
HTTPConnection.connect(self)
File "/usr/lib64/python2.7/httplib.py", line 807, in connect
self.timeout, self.source_address)
File "/usr/lib64/python2.7/socket.py", line 553, in create_connection
for res in getaddrinfo(host, port, 0, SOCK_STREAM):
IOError: [Errno socket error] [Errno -2] Name or service not known

unnecessary code on line 48

Line 48: pred = clf.predict(features_test)
I believe the variable above hasn't been used by the file.
Some performance gain without it.

I faile to open "nb_author_id" python scripts.

Hi,When I open the "nb_author_id" python scripts in Naive Bayes folder, a list of words show: E:\python27\lib\site-packages\sklearn\cross_calidation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the module_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
" This module will be removed in 0.20.", DeprecationWarning>
Hi ,my teacher ,could you help me? Thanks for helping.

UD120 references to UD421

I noticed in the headline that the repository reference UD421, reads:

Starter project code for students taking Udacity ud421

(See attached screenshot to see what I saw)

I believe UD421 is the "iOS Networking with Swift" course, not the "Intro to Machine Learning" course that this is meant to be. It was a little confusing at first, but it's a really simple fix, if you have the right rights.

If someone who has admin rights to this repo were to just go to https://github.com/udacity/ud120-projects then there should be an "edit" button to the immediate right of the text: "Starter project code for students taking Udacity ud421" and you can just change the numbers 421 to 120 and be done! That should result in a little less confusion here.

Thanks so much for making this repository available!

no such file

Hi, I am currently taking the Intro to ML course and it turns out many files are missing....For example, one file needed gives this error:
word_data = pickle.load( open(words_file, "r"))

FileNotFoundError: [Errno 2] No such file or directory: '../text_learning/word_data.pkl'
It seems not all necessary files for completing the quizzes are uploaded here on GitHub....
And this is just one example file that is missing...
Please update your documentation if you want people to take the course.
Thank you.

No module named email_preprocess

Traceback (most recent call last):
  File "naive_bayes/nb_author_id.py", line 17, in <module>
    from email_preprocess import preprocess
ImportError: No module named email_preprocess

ReadError: Empty file

Running the startup file gives the following empty file error when it tries to download the tar file containing the dataset.

python2 startup.py 

checking for nltk
checking for numpy
you should install numpy before continuing
checking for scipy
you should install scipy before continuing
checking for sklearn
you should install sklearn before continuing

downloading the Enron dataset (this may take a while)
to check on progress, you can cd up one level, then execute <ls -lthr>
Enron dataset should be last item on the list, along with its current size
download will complete at about 423 MB
   download complete!

unzipping Enron dataset (this may take a while)
Traceback (most recent call last):
 File "startup.py", line 44, in <module>
   tfile = tarfile.open("enron_mail_20150507.tar.gz", "r:gz")
 File "/usr/lib64/python2.7/tarfile.py", line 1691, in open
   return func(name, filemode, fileobj, **kwargs)
 File "/usr/lib64/python2.7/tarfile.py", line 1745, in gzopen
   t = cls.taropen(name, mode, fileobj, **kwargs)
 File "/usr/lib64/python2.7/tarfile.py", line 1721, in taropen
   return cls(name, mode, fileobj, **kwargs)
 File "/usr/lib64/python2.7/tarfile.py", line 1587, in __init__
   self.firstmember = self.next()
 File "/usr/lib64/python2.7/tarfile.py", line 2371, in next
   raise ReadError("empty file")
tarfile.ReadError: empty file

startup.py is giving some error

![2017-09-24](https://user-images.githubusercontent.com/16759496/30785356-7d08e4d2-a183-11e7-8b3c-ce58cd8ce761.png)

unable to match accuracy

i am not getting the correct accuracy in svm mini project 2

clean away "signature words"

Traceback (most recent call last):
File "C:\Users\user\Downloads\ud120-projects-master\text_learning\vectorize_text.py", line 48, in
email = open(path, "r")
IOError: [Errno 2] No such file or directory: '..\maildir/bailey-s/deleted_items/101.'

i am gettin this error though the maildir is downloaded and unzipped properly.. somebody help

Was the email content generated or not?

Hi,
I have been following the course and I really love it. I was intrigued to look into the original "email content" to see how it was prepossessed. The data really looks legit and even if it has been stemmed you can clearly collect id/pw and email address. Therefore, I was wondering if you actually generated it or if it is actually legit information. If it is legit, I'd advise trying to remove these information as people (sadly) don't often change their username/password.
Best,

Migrating to python3

Common, now is 2017 and you still using python2. Shame on you :)
I have created fork for migrating to python3. I will update it after every task, but if somebody can help my, please welcome.
[email protected]:ArtyomKaltovich/ud120-projects.git
https://github.com/ArtyomKaltovich/ud120-projects

Python 3 - Ordered Dictionary

I've ported this repo over to python 3 but facing an issue for the mini project of lesson 6.
It seems that when I'm importing the data it comes in an arbitrary order, what means I can't compute the wanted values in the quizzes.

Is there something I can do about it?

Plotting wrong in choose_you_own_class

Last night I noticed that if I changed line 9 of ud120-projects\choose_your_own\prep_terrain_data.py from:

grade = [random.random() for ii in range(0,n_points)]

grade = [random.random()/2.0 for ii in range(0,n_points)]

very weird things happen.

I traced this down to the plotting of the initial classifications - the x and y were wrong. Confusion was compounded by the labels being wrong on the results plot.

I have changed to make gradient always the x axis and bumpiness always the y axis.

Let me know if you agree.

Py 2 not Py3

Why isn't py3 used?
All scripts are Py2.

Feature_format

There is no such module when I try to run this code. What can I do?

database download error fix by your hand

in file ./tools/startup.py
at line 34,line 35,line 44
change stream "enron_mail_20150507.tgz" to "enron_mail_20150507.tar.gz"
save and run the startup.py
now,it's work!
my name is leifeng~

issues' reason:guys of enron_mails have changed their compress file format( also the download URL),but udacity have not refresh and change their code.

where are the emails?

I don't get it, shouldn't there be folders with emails in this repository?
when I run the vectorize_text.py file I get this error:
[Errno 2] No such file or directory: '../maildir/bailey-s/deleted_items/101.'
I check the directory one level up and there is no maildir.

Is there something I missed?

Couldn't install SciPy

I have tried running the code it gives my this error

Traceback (most recent call last):
File "C:\Users\DeLL\Desktop\ud120-projects\naive_bayes\nb_author_id.py", line 16, in
from email_preprocess import preprocess
File "../tools/email_preprocess.py", line 7, in
from sklearn import cross_validation
File "C:\Python27\lib\site-packages\sklearn_init_.py", line 57, in
from .base import clone
File "C:\Python27\lib\site-packages\sklearn\base.py", line 10, in
from scipy import sparse
ImportError: No module named scipy

and then I use pip install scipy it gives following error

Command "c:\python27\python.exe -u -c "import setuptools, tokenize;file='c:\users\dell\appdata\local\temp\pip-build-bbcarc\scipy\setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record c:\users\dell\appdata\local\temp\pip-empnns-record\install-record.txt --single-version-externally-managed --compile" failed with error code 1 in c:\users\dell\appdata\local\temp\pip-build-bbcarc\scipy\

I have searched a little bit and found out that it has to do something with .whl. I am not expert at computer. Please help me out

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