Conquer These 8 Data Science Challenges
Start off with our Simple Regression Challenge. In the linked file there are 100 (x,y) points. Given these data, find the slope and the intercept of the line which best fits them. Round your answers to the nearest hundredth.
Predicting randomly picked playing-cards, and ascertaining if it’s raining via unreliable testimonies. Fans of the Monty Hall math problem will have a soft spot for this one.
Encryption is a hot topic now! With all the recent hacks of high profile companies, more are looking for the best level of encryption. One of the earliest forms of encryption is called the Caesar Encryption.
The climate is changing. This challenge is all about using visualisations to understand data and make a case.
The series contains 1800 evenly-spaced measurements of instantaneous heart rate. The subject was engaged in comparable activities for the duration of each series. Answer each question but not with any non-core Python modules.
Lists are a fundamental data type within Python. Understanding the ways you can manipulate lists will be invaluable when scraping, cleaning & data handling. This challenge will test your knowledge of the different list operations within python.
Does what it says on the tin. Boost your Python ability to the next level with our Intermediate Python challenge.
The probability may be simple, but this challenge is hard. Test your skills and prove yourself with our final test.
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