Can you help me with question 4. defintions

1. Define Machine Learning Concepts

Using your OWN words, what is ML? How is this relate to AI?

What is the relationship between ML and Statistics + Math?

What is the relationship between ML and the field of data analytics?

What algorithms are NOT included in ML?

What are the structures/groups of ML?

What role does data play in ML?

Why ML is receiving so much attention?

What are its business implications?

What is the typical ML process flow?

What is a typical data slicing?

2. Define Pandas and Feature Enginering concepts:

What is feature engineering?

Why is this important?

What importance does data carries in ML?

3. Coding Example:

Deal with missing or null values

Convert string to numeric values

Data normalization

Column manipulation

4. Text mining and NLP concepts

How would you describe the field of text mining and NLP to your gandma?

What is a library in ML?

What are tokenization, stemming, stop word removal ?

What are sentiment analysis and chatbot?

5. K means clustering concepts

How would you describe the K-Means Clustering algorithm to your grandma?

What is K value? and why is this so important?

What are some example applications?

Is there data type requirement?

What is silhouette coefficient?