Import the random module
Create a while loop
/* set running to true */ running = True
/* while running is true */ while running: /* Create a random integer between 0 and 5 */ s = random.randint(0,5) /* If the integer is less than 3 */ if s < 3: print('It is too small, starting over.') /* Reset the next interation of the loop (i.e skip everything below and restart from the top) */ continue /* If the integer is 4 */ if s == 4: running = False print('It is 4! Changing running to false') /* If the integer is 5 */ if s == 5: print('It is 5! Breaking Loop!') /* then stop the loop */ break
It is too small, starting over. It is too small, starting over. It is too small, starting over. It is 5! Breaking Loop!
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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