accessnash’s gists

accessnash / blackjack.py

Created April 7, 2021 19:15

An implementation of Blackjack game using OOP (Udemy)

	# -- coding: utf-8 --
	"""
	Created on Tue Apr 6 19:36:36 2021

	@author: Localuser
	"""


	import random

accessnash / tic-tac-toe.py

Created April 5, 2021 15:58

A simple implementation of the Tic Tac Toe game using OOP

	# -- coding: utf-8 --
	"""
	Created on Mon Apr 5 08:46:46 2021

	@author: Localuser
	"""
	import random

	class Player:

accessnash / rand_number.py

Created March 21, 2021 08:28

	# -- coding: utf-8 --
	"""
	Spyder Editor

	This is a temporary script file.
	"""

	class RandomNumbers:
	def __init__(self, length, *, range_min = 0, range_max = 20):
	self.length = length

accessnash / Credit_Risk_Modeling_LGD_&_EAD_model.py

Last active December 22, 2020 19:16

Continuing from the PD model in the previous section to build the LGD and the EAD models and finally calculating the Expected loss for the loan portfolio

	# -- coding: utf-8 --
	"""
	Created on Sun Dec 20 17:20:52 2020

	@author: User
	"""


	#Part III - LGD & EAD Model

accessnash / Credit_Risk_Modeling_PD_model.py

Last active March 1, 2022 02:30

Building a PD model using loans data : Part I - data cleaning from original data set, choosing variables for building PD model and estimation ; Part II: Out-of-sample PD model validation, creating score cards from PD model and setting cut-offs for approval/rejection

	# -- coding: utf-8 --
	"""
	Created on Mon Dec 10 19:05:13 2020

	@author: User
	"""

	#Part I: Data cleaning, choosing variables & PD Model estimation

	import numpy as np

accessnash / fibonacci.py

Created December 7, 2020 10:32

3 different ways of using caching for a simple computation of Fibonacci numbers. Also using lru_cache (Least recently used) in Python to limit the number of items in cache

	# -- coding: utf-8 --
	"""
	Created on Mon Dec 7 10:35:31 2020

	@author: Localuser
	"""

	# 1st method using a Class
	class Fib:

accessnash / expectation-maximization.py

Created November 22, 2020 17:04

Example of fitting a Gaussian mixture model with EM algorithm

	# -- coding: utf-8 --
	"""
	Created on Sun Nov 22 17:53:58 2020

	@author: Localuser
	"""


	# Fitting a GMM with EM algorithm

accessnash / kernel_density_estimation.py

Created November 17, 2020 20:23

Non-parametric density estimation for a bimodal sample

	# -- coding: utf-8 --
	"""
	Created on Tue Nov 17 20:58:21 2020

	@author: Localuser
	"""


	import matplotlib.pyplot as plt
	import numpy as np

accessnash / pareto.py

Last active November 15, 2020 22:00

Plotting PDF and CDF for a pareto distribution

	# -- coding: utf-8 --
	"""
	Created on Sun Nov 15 17:45:00 2020

	@author: User
	"""

	#PDF and CDF of a Pareto distribution
	from scipy.stats import pareto
	import matplotlib.pyplot as plt

accessnash / ARIMA_milk_prod.py

Created October 30, 2020 07:08

Fitting a ARIMA model on the dataset for Milk production

	# -- coding: utf-8 --
	"""
	Created on Thu Oct 29 20:35:30 2020

	@author: User
	"""


	import pandas as pd
	import seaborn as sns