9b7ab19c56
Import urllib.request instead of urllib
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As of January 25, 2021, in some environments, such as Colab (Python 3.6.9),
the following import statement
import urllib
is not the right one for using urllib.request.
Indeed, calls to urllib.request functions then yield the following error:
AttributeError: module 'urllib' has no attribute 'request'
One must import urllib.request instead.
See also https://stackoverflow.com/q/22278993
2021-01-25 11:55:32 +01:00
f225f59780
Update to latest library versions
2020-11-21 12:22:42 +13:00
4a48d04a1a
Add a comment about sklearn.metrics.plot_confusion_matrix, fixes #142
2020-07-05 18:35:06 +12:00
2f7ab70295
Update notebooks to latest nbformat
2020-04-06 19:13:12 +12:00
c29e8d9e37
Merge pull request #65 from patsancu/remove-hardcoded-recall-precision-threshold-coordinates
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remove hardcoded values for recall-precision-threshold intersection
2020-02-05 09:29:48 +13:00
6ac9776eaa
Install urlextract if on Colab for exercise 4 and fix the word count
2020-01-25 16:37:00 +13:00
79fedac881
remove hardcoded values for recall-precision-threshold intersection
2019-11-14 21:31:06 +01:00
a55720e9e4
Make notebooks 1 to 9 runnable in Colab without changes
2019-11-05 22:26:52 +08:00
07b83a5e09
Import urllib directly instead of from six.moves, as we move away from Python 2
2019-10-12 16:29:54 +09:30
f680e49ea2
Replace SGD with SVC in OvA vs OvO section
2019-05-28 15:21:49 +08:00
03810ea2f7
Add chapter 15, time series and NLP using RNNs, CNNs and Attention
2019-04-16 08:27:36 +08:00
52afcf4290
Crop long outputs so they show up nicer on github.com
2019-04-16 00:06:57 +08:00
687fd71b5f
Add outputs for threshold_90_precision and fix comment, fixes #2
2019-04-05 17:06:37 +08:00
1a6bb0b199
Create image directory and check for sklearn >= 0.20
2019-01-21 18:42:31 +08:00
6b8dff91d0
Update all notebooks assuming we are all in the future now: sklearn 0.20+, python 3.5+, TF 2.0 preview
2019-01-18 23:08:37 +08:00
d2518a679b
Drop Python 2 (woohoo!) and import matplotlib as mpl
2019-01-16 23:42:00 +08:00
b54ee1b608
Update notebooks 1 to 8 to latest library versions (in particular Scikit-Learn 0.20)
2018-12-21 10:18:31 +08:00
a7c50e12c4
Add boxplot in notebook 03, exercise 3
2018-05-26 15:01:33 +02:00
c4e72ddc49
Replace pip with pip3, and add random_state to LogisticRegression
2018-05-08 12:33:46 +02:00
4dbb575933
Merge pull request #161 from nbgraham/patch-2
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Ch. 3: Updates explanation to match data
2018-05-08 11:25:19 +02:00
771dccaca4
Clarify future encoders in Scikit-Learn 0.20
2018-05-07 21:09:08 +02:00
46f547daeb
Replace the CategoricalEncoder with the OneHotEncoder class
2018-05-07 19:52:01 +02:00
31d2f0d695
add n_jobs param
2018-01-30 17:49:44 +09:00
385d635e92
add params for avoiding warn and improving perf.
2018-01-30 17:19:37 +09:00
a6fdeb23dd
Merge pull request #162 from nbgraham/patch-3
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Ch. 3: Fixes precision / recall percent notation
2018-01-24 15:33:19 +01:00
487dd9a2c5
Fixes precision / recall percent notation
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0.95 = 95%
0.95% = 0.0095
2018-01-22 14:33:22 -06:00
4328224b7e
Updates explanation to match data
2018-01-22 14:28:05 -06:00
916d64c7a2
Fixes typo
2018-01-22 14:08:12 -06:00
34af2979c9
Roughly 40% of Titanic passengers survived, not 50% ( fixes #102 )
2017-10-17 11:28:55 +02:00
aab0bc39a9
Add spam classifier exercise solution in chapter 3
2017-10-04 13:43:43 +02:00
6053a2e254
Add exercise solutions 1 to 3
2017-10-04 10:57:40 +02:00
204b6ac7ce
Merge branch 'master' of github.com:ageron/handson-ml
2017-09-19 13:40:59 +02:00
236cb24e0b
Add a warning before the compute-intensive cell in ch 03
2017-09-18 09:16:40 +02:00
dbaae16e88
Merge pull request #77 from jasrys/master
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Fix typos
2017-09-18 08:47:31 +02:00
ca35dddc38
Add workaround for a bug introduced by Scikit-Learn 0.19.0, in chapter 03
2017-09-15 17:58:29 +02:00
dc901e0ada
Fix typos
2017-08-19 08:01:55 -07:00
df14b513f5
Fix multilabel typo
2017-07-07 21:56:30 +02:00
c9252677bd
Fix plot_confusion_matrix() in ch 03 ( fixes #42 )
2017-06-19 22:28:45 +02:00
692b674196
Use 'np.random' rather than 'import numpy.random as rnd'
2017-06-06 14:26:26 +02:00
c226f328d3
Make notebook code match book examples more closely in chapter 3
2017-06-01 09:52:10 +02:00
29ef56964a
Since mldata.org is down, download MNIST elsewhere
2017-04-07 21:33:53 +02:00
d8176ec2cb
Upgrade notebooks to TensorFlow 1.0.0
2017-02-17 11:51:26 +01:00
a40b278df5
Move to sklearn 0.18
2016-11-05 18:13:54 +01:00
1106244cfe
Rename classification.ipynb to 03_classification.ipynb
2016-09-27 23:32:03 +02:00
Jerome Lovy