Import the random module
Create a variable of the true number of deaths of an event
deaths = 6
Create a variable that is denotes if the while loop should keep running
running = True
while running is True
while running: /* Create a variable that randomly create a integer between 0 and 10. */ guess = random.randint(0,10) /* if guess equals deaths, */ if guess == deaths: /* then print this */ print('Correct!') /* and then also change running to False to stop the script */ running = False /* else if guess is lower than deaths */ elif guess < deaths: /* then print this */ print('No, it is higher.') /* if guess is none of the above */ else: /* print this */ print('No, it is lower')
No, it is higher. No, it is higher. Correct!
By the output, you can see that the while script keeping generating guesses and checking them until guess matches deaths, in which case the script stops.
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes
Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!
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