Singularis Software Technologies Data Science Intern Interview Questions and Answers

Data Structures and Alg.

Q1. EDA and NumPy and Pandas
Add your answer

Q1. Questions were based on the projects in my resume.
Add your answer
Q2. They also asked why health-based company
Add your answer

Basic self evaluation test.

Q1. What project I have completed and follow-up questions on that?
Add your answer
Q2. How to handle class imbalance.
Ans. 
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
• Use resampling techniques like oversampling or undersampling to balance the classes.

• Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.

• Adjust class weights in the model to give more importance to minority class.

• Use evaluation metrics like F1 score, precision, r...read more
Answered by AI
Add your answer
Q3. Basic Python coding questions.
Add your answer

Q1. Data-related questions.
Add your answer
Q2. ML Ops questions.
Add your answer

Q1. Given a situation how do you handle different cases
Add your answer
Q2. Given a proab stats question
Add your answer

Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...read more
Add your answer

Q1. Basic pandas questions on dataframes
Add your answer
Q2. Some quiz questions
Add your answer

SQL coding test on HackerRank. Also some questions on previous experience

Case study on a data project

Q1. How can Logistic regression be applied for multiclasstext classification
Ans. 
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
• One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.

• Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.

• Evaluate the model using appropriate...read more
Answered by AI
Add your answer