Components of expected loss (EL) - Probability of default (PD) - Exposure at default (EAD): the amount of the loan that still needs to be repaid at the time of default - Loss given default (LGD): the amount of loss if there is a default (express as a percentage of …
nohitter_times is an array with length of 251. array([ 843, 1613, 1101, 215, 684, 814,..])
# Seed random number generator
np.random.seed(42)
# Compute mean no-hitter time: tau
tau = np.mean(nohitter_times)
# Draw out of an exponential distribution with parame*ter tau: inter_nohitter_time
inter_nohitter_time = np.random …# Import plotting modules
import matplotlib.pyplot as plt
import seaborn as sns
# Set default Seaborn style
sns.set()
# Compute number of data points: n_data
n_data = len(versicolor_petal_length)
# Number of bins is the square root of number of data points: n_bins
n_bins = np.sqrt(n_data)
# Convert …source activate pyspark_env
pip install pelican markdown
Create a new github repo with repo name as sophia-li-he.github.io Change directory to the folder where you want to save your blog
$ git clone https://github.com/sophia-li-he/sophia-li-he.github.io.git
Change to the new directory
cd sophia-li-he.github.io …def singlevalue(my_series):
"""
input: pd.series
output: the number of single values
"""
value = len(my_series.value_counts()[my_series.value_counts() == 1])
return value
def df_explore(data_explore):
"""
input: pandas dataframe
output:
1. the shape of the data frame
2. the number of unique value in each column
3. the …