Python with IBM

Question 1

What is the Machine Learning technique of Regression/Estimation?

Answer 1

Predicting continuous values. ie predicting the price of a house based on its characteristics or estimating the Co2 emission from a car’s engine

Question 2

What is the Machine Learning technique of Classification?

Answer 2

Predicting the item class/category of a case: Yes or No answer. ie if a cell is benign or malignant

Question 3

What is the Machine Learning technique of Clustering?

Answer 3

Finding the structure of data; summarization; grouping of similar things. ie can find similar patients, or can be used for customer segmentation in the banking field

Question 4

What is the Machine Learning technique of Associations?

Answer 4

Associating frequent co-occuring items/events ie grocery items that are usually bought together by a particular customer

Question 5

What is the Machine Learning technique of Anomaly detection?

Answer 5

Discovering abnormal and unusual cases ie credit card fraud detection

Question 6

What is the Machine Learning technique of Sequence mining?

Answer 6

Predicting the next events. ie the click stream or what will a user will click next

Question 7

What is the Machine Learning technique of Dimension Reduction?

Answer 7

Reducing the size of data

Question 8

What is the Machine Learning technique of Recommendation systems?

Answer 8

Associates people’s preferences with others who have similar tastes and recommends new items to them

Question 9

Parts of a Machine Learning Pipeline

Answer 9

Data Preprocessing->Train/Test split->Algorithm setup->Model fitting->Prediction->Evaluation->Model export

Question 10

What are the 2 types of Supervised Learning?

Answer 10

Classification and Regression

Question 11

What is Classification?

Answer 11

The process of predicting discrete class labels or categories. yes or no

Question 12

What is Regression?

Answer 12

The process of predicting a continous value

Question 13

What are the Unsupervised learning techniques?

Answer 13

• Dimension reduction
• Density estimation
• Market basket analysis
• Clustering

Question 14

What is Clustering

Answer 14

Clustering is grouping of data points or objects that are somehow similar by:
*Discovering structure
* Summarization
* Anomaly detection

Question 15

What is the difference between Supervised and Unsupervised Learning

Answer 15

Supervised Learning
Classification: Classifies labeled data
Regression: Predicts trends using previous labeled data
Has more evaluation methods than unsupervised learning
Controlled environment

Unsupervised Learning
Clustering: Finds patterns and groupings from unlabeled data
Has fewer evaluation methods than supervised learning
Less controlled environment

Question 16

In Regression what is the Dependent Variable

Answer 16

The dependent variable can be seen as the state, target, or final goal we study and try to predict. It is usually denoted by Y.

Question 17

In Regression what is the InDependent Variable

Answer 17

The independent variable, also known as explanatory variable, can be seen as the causes of the states of the dependent variable. There can be multiple dependent

Question 18

How is a Regression Model expressed?

Answer 18

The independent variables are shown conventionally by X and the dependent variable is notated by Y. A regression model relates Y or the dependent variable to a function of X i.e. the independent variables.

Question 19

What are the types of regression

Answer 19

Simple and Multiple Regression

Question 20

What is Simple Regression?

Answer 20

Where there is only one dependent and independent variable. Could be Linear or Non-Linear

Question 21

What is Multiple Regression?

Answer 21

Where there is one dependent variable and multiple independent variables. Could be Linear or Non-Linear.