katsu1110

from google.colab import files
files.upload()

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p = \frac{e^{0.5rt}}{2e^{0.5rt}+c}

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while(LIFE)
{
  string* state = readState();
  if (state == "見た目に恵まれている")
      state = "気持ちに余裕がある";
  if (state == "気持ちに余裕がある")
      state = "他人に優しくできる";
  if (state == "他人に優しくできる")
      state = "内面が磨かれる";

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likelihood : P(x|\theta)

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P(銀行窓口係) \geq P(銀行窓口係)P(フェミニスト運動に参加)

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import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

# for visualization
import matplotlib.pyplot as plt
import seaborn as sns

# import data
train = pd.read_csv('../input/train.csv')

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# import libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# EUR to JPY =======================================
def eur2jpy(x):
    y = np.round(x*130/10000)

katsu1110

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

# Entropy as a function of probability --------
# random sample for probabilities
p = np.arange(0.01,1,0.01)

# compute binary entropy

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%% play with the extracted objects (line)
% - change width of the both lines
% - green dash regression line
% - black dotted unity line

% regression line
plot(lines(2).XData, lines(2).YData, '--g','linewidth', 2)
hold on;

katsu1110

# library
from scipy.stats import norm
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

# A-kun data
p = 42/100
n = 100