Tiger Analytics Trainee Analyst Interview Questions and Answers

Basic Aptitude Questions,1sql,1coding

Q1. Sql basics and python
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Q2. Projects and problem solving skills
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Q1. Sql depth concepts
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Q2. Normalisation,joins
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Q1. General questions like relocation
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Q2. About family and college
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There were 3 coding problems : 1 easy and 2 medium level. Other than that there were ML and Deep learning-related questions.

Q1. Based on Basics of ML and projects in my resume
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Q2. Difference between PCA, KNN , Decision Tree
Ans. 
PCA reduces dimensionality, KNN is a non-parametric classification algorithm, Decision Tree is a tree-like model for classification.
• PCA is used for dimensionality reduction by transforming data into a new coordinate system

• KNN is a non-parametric classification algorithm that classifies new data points based on similarity to training data

• Decision Tree is a tree-like model where each internal node represents a feature, e...read more
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Q3. T-test significance
Ans. 
A t-test is used to determine if there is a significant difference between the means of two groups.
• T-test is a statistical test used to compare the means of two groups.

• It calculates the t-value, which is then compared to a critical value to determine significance.

• The lower the p-value, the more significant the difference between the groups.

• For example, a t-test can be used to compare the average test scores of two diff...read more
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Q4. Batch Normalization
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Q5. Activation functions
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Q1. Tell me about yourself
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Q2. Determinant calculation code
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Q1. Analytical scenario based questions
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Q1. Willing to relocate?
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Q2. Hobbies, and other hr questions
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