Fastenal IT Data Analyst Interview Questions and Answers

SQL and Python coding test

Q1. Bagging vs Boosting
Add your answer
Q2. Overfitting and Underfitting in GBDT
Add your answer

Q1. Questions on Recent project
Add your answer
Q2. Deep Learning vs classical ML
Add your answer

The assessment consists of a dataset for which we are required to build a machine learning model and submit the results along with code and detailed documentation

Q1. What are ensemble models
Ans. 
Ensemble models are machine learning models that combine multiple individual models to improve predictive performance.
• Ensemble models work by aggregating predictions from multiple models to make a final prediction.

• Common types of ensemble models include Random Forest, Gradient Boosting, and AdaBoost.

• Ensemble models are often more accurate and robust than individual models.

• They can reduce overfitting and increase genera...read more
Answered by AI
Add your answer
Q2. Difference between bagging and boosting
Ans. 
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
• Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.

• Boosting involves training multiple models sequentially, where each subsequent model c...read more
Answered by AI
Add your answer
Q3. A lot of tree based questions
Add your answer

Q1. About previous experience situation based questions excel problem solving
Add your answer
Q2. Tell me about yourself difference between data quality and data validity
Add your answer

SQL, Python, like case about window function

Q1. All about past project
Add your answer

Some coding question about optimization algorthim

Basic aptitude,sql ques

Visualizing the dataset information

Q1. Excel and SQL based questions
Add your answer

Q1. Python and project based questions
Add your answer

Q1. Data entry operator,ms word, ms Excel
Add your answer
Q2. Accurate results in on time.
Add your answer
Q3. Share the documents in shorply
Ans. 
To share documents in Sharply, follow these steps:
• Open Sharply and log in to your account

• Click on the 'Documents' tab

• Select the document you want to share

• Click on the 'Share' button

• Enter the email address of the person you want to share the document with

• Click 'Send'

• The person will receive an email with a link to access the document
Answered by AI
Add your answer