Juan Shishido juanshishido
juanshishido
/ async-stats.json
Created
February 9, 2017 19:54
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| { | |
| "data_type":"stats", | |
| "time_series_length":1, | |
| "data":[ | |
| { | |
| "id":"6c62d", | |
| "id_data":[ | |
| { | |
| "segment":{ | |
| "segment_name":"18-34", |
juanshishido
/ logisticcoefficients.py
Created
April 5, 2016 07:28
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| import numpy as np | |
| import statsmodels.api as sm | |
| df = sm.datasets.ccard.load_pandas().data | |
| df['intercept'] = 1.0 | |
| model = sm.Logit(df.OWNRENT, df[['intercept', 'AGE', 'INCOME']]) | |
| result = model.fit() | |
| result.summary() |
juanshishido
/ clustering-and-distributional-semantics.ipynb
Created
November 9, 2015 17:26
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juanshishido
/ slr_data.py
Created
November 7, 2015 05:42
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| import numpy as np | |
| import matplotlib as mpl | |
| import matplotlib.pyplot as plt | |
| mpl.rc("savefig", dpi=200) | |
| params = {'xtick.major.size' : 0, | |
| 'ytick.major.size' : 0} | |
| for (k, v) in params.items(): | |
| plt.rcParams[k] = v |
juanshishido
/ kaggle-writeup.ipynb
Created
October 31, 2015 04:53
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juanshishido
/ Classification Features with NLTK Classification Code.ipynb
Created
October 14, 2015 10:10
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juanshishido
/ keyphrase-extraction.ipynb
Created
October 12, 2015 16:26
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juanshishido
/ Chunker for Technical Terms.ipynb
Created
September 30, 2015 06:54
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juanshishido
/ Tagger Create New Training Data and Retrain.ipynb
Created
September 23, 2015 08:28
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juanshishido
/ Creating a First Look at Your Text Collection-2015.rev1.ipynb
Created
September 14, 2015 08:02
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