Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
andreachello
/ cva.py
Created
May 16, 2022 17:55
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| import numpy as np | |
| from scipy.stats import norm | |
| import matplotlib.pyplot as plt | |
| import random as r | |
| # Market Information | |
| risk_free = 0.1 | |
| # Share Specific Information | |
| S_0 = 100 |
kmclaugh
/ Keras_Linear_Model.py
Last active
February 4, 2021 15:13
Keras Model for a Simple Linear Function (ie Keras modeling a linear regression)
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| import pandas as pd | |
| import numpy as np | |
| import seaborn as sns | |
| from keras.layers import Dense | |
| from keras.models import Model, Sequential | |
| from keras import initializers | |
| ## ---------- Create our linear dataset --------------- | |
| ## Set the mean, standard deviation, and size of the dataset, respectively |
rxaviers
/ gist:7360908
Last active
March 20, 2026 18:16
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