Ioannis K Breier jkarakas

## Import(run) a ipynb file from another folder in a jupyter notebook.ipynb

      
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                jkarakas
                / Import(run) a ipynb file from another folder in a jupyter notebook.ipynb
            
            
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              June 14, 2018 07:14
            
              
                 Import(run) a ipynb file from another folder in a jupyter notebook
              
          
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## NumericToLatex.ipynb

      
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                jkarakas
                / NumericToLatex.ipynb
            
            
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              June 14, 2018 07:47
            
              
                Turn regular numeric expressions in python into latex
              
          
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## Lesson_2_Linear_Regression.ipynb

      
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                jkarakas
                / Lesson_2_Linear_Regression.ipynb
            
            
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              February 7, 2022 15:28
            
              
                Linear regression quizes
              
          
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## DSND-Quizzes.py
# DSND - Lesson 2 - Quiz 8 / 2

# Let's say that we have a line whose equation is y = -0.6x + 4. For the point (x,y) = (-5, 3), apply the square trick to get the new equation for the line, using a learning rate of alpha = 0.01alpha=0.01.

# Report your answer in the form y = w_1x + w_2, substituting appropriate values for w_1 and w_2.

a = 0.01
w1 = -0.6
w2 = 4
p = -5

## Makefile
# Requires presence of credentials.txt file containing login/password in the following format:
# UserName=my_username&Password=my_password

COMPETITION=diabetic-retinopathy-detection

all: download_files

session.cookie: credentials.txt
        curl -o /dev/null -c session.cookie https://www.kaggle.com/account/login
        curl -o /dev/null -c session.cookie -b session.cookie -L -d @credentials.txt https://www.kaggle.com/account/login
	# DSND - Lesson 2 - Quiz 8 / 2

	# Let's say that we have a line whose equation is y = -0.6x + 4. For the point (x,y) = (-5, 3), apply the square trick to get the new equation for the line, using a learning rate of alpha = 0.01alpha=0.01.

	# Report your answer in the form y = w_1x + w_2, substituting appropriate values for w_1 and w_2.

	a = 0.01
	w1 = -0.6
	w2 = 4
	p = -5
	# Requires presence of credentials.txt file containing login/password in the following format:
	# UserName=my_username&Password=my_password

	COMPETITION=diabetic-retinopathy-detection

	all: download_files

	session.cookie: credentials.txt
	curl -o /dev/null -c session.cookie https://www.kaggle.com/account/login
	curl -o /dev/null -c session.cookie -b session.cookie -L -d @credentials.txt https://www.kaggle.com/account/login