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1- Four main Object Oriented Programming (OOP) Concepts: 1- Encapsulation 2. Abstraction. 3. Inheritance. 4. Polymorphism.
2- What are two considerations when designing databases?
3- What is an example of encapsulation?
4- What is an example of abstraction?
5- What is scope? What is the scope rule in python?
6- What does scope help us avoid?
7- Name at least 4 data types in python?
8- What are the types of data by structure?
9- What is an example of unstructured data?
10- What is an example of structured data?
11- What are the key parts of a class in python?
12- Are python lists or numpy arrays faster? Why?
13- Draw an example of discrete data
14- Draw an example of continuous data
15- What are the 6 types of preprocessing?
16- The correlation between two variables is known as __________
17- A model with a high MSE (mean squared error) is likely __________
18- As you have more data points in your sample, the mean get closer to the __________ mean.
19- Complete separation is also known as ______________ and shows a scenario when we probably should not use machine learning.
20- Define accuracy.
21- Define precision.
22- Define recall.
23- What sort of data is linear regression good at predicting?
24- What sort of data is logistic regression good at predicting?
25- What sort of data is KNN good at predicting?
26- What do we bother creating databases? Why can’t we just use files?
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