02 : Supervised Learning

Question 1

2 subtypes of supervised machine learning ?

Answer 1

• Classification : Predicting a category or class label from a set of predefined labels.
• Regression : Predicting a continuous numerical value based on input data

Question 2

2 types of classification ?

Answer 2

• Binary classification : classificaton between exactly two classes
• Multiclass classification : classification between more than two classes

Question 3

Use cases in classification ?

Answer 3

• Is customer likes to leave the network ?
• Is the patient infected with the disease ?
• What types of disease does the patient have ?
• What is the genre of music ?

Question 4

Use cases in Regression ?

Answer 4

• How much will be my monthly electricity cost for the next three years?
• What will be the temerature for the next five days?

Question 5

Examples of Supervising Learning?

Answer 5

• Predict whether an email is spam or not.
• Identify handwritten digits from images.
• Classify the type of disease patient has based on symtomps.
• Identify the peoples who going in and going out from an airport using facial recognition.

Question 6

Types of Regression?

Answer 6

• Linear regression
• Polynomial regression
• Support vector regression
• Decision tree regression
• Random forest regression
• Ridge regression
• Lasso regression
• Logistic regression

Question 7

Algorithms of Classification and Regression?

Answer 7

Classification :
* Logitic regression
* Decision tree
* Support vector machine

Regression :
* Linear regression
* Polynomial regression

Question 8

Advantages of Supervised learning?

Answer 8

• Highly accurate
• Efficient for many tasks
• Easy to interprit results

Question 9

Challenges of Supervised learning?

Answer 9

• Labeled data can be expensive and time consuming
• Overfitting
• Not suitable for all problems