QuantVI

## cva.py
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

## list.md

      
              1 file
            
          
              800 forks
            
          
              38 comments
            
          
              1844 stars
            
          
                ih2502mk
                / list.md
            
            
              Last active
              July 17, 2024 10:13
            
              
                Quantopian Lectures Saved
              
          
    Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]

Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]

Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]

Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]

Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

  
## Keras_Linear_Model.py
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
	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
	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