Markytics Data Scientist Interview Questions and Answers

They have provided a CSV file with the problem statement statement, i had to do all data preprocessing, data analysis, visualisation things bases on that data

Q1. What is supervised vs Unsupervised learning
Ans. 
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data.
• Supervised learning requires a target variable for training the model.

• Unsupervised learning finds patterns and relationships in data without a specific target variable.

• Examples of supervised learning include regression and classification tasks.

• Examples of unsupervised learning include clustering and dimensionality re
Answered by AI
Add your answer
Q2. Explain how decision tree works
Ans. 
Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.
• Decision tree splits data into subsets based on the value of a certain attribute

• It continues to split the subsets until a stopping criterion is met

• Each internal node represents a decision based on an attribute, each branch represents the outcome of that decision, and each leaf node represents the final d...read more
Answered by AI
Add your answer