Tiger Analytics Interview Questions, Process, and Tips

Q1. Anyone ML model in depth concept
Ans. 
A machine learning model is a mathematical model that learns from data to make predictions or decisions without being explicitly programmed.
• ML models can be classified into categories such as supervised learning, unsupervised learning, and reinforcement learning.

• Examples of ML models include linear regression, decision trees, support vector machines, and neural networks.

• ML models require training data to learn patterns...read more
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7 MCQ’s and 2 programming questions

Q1. Write a program to arrange array of numbers in ascending order.
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Q1. What are the methods of variable selection?
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Q1. Spark Architecture
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Q2. Data warehousing
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Easy python question , sql one question

Q1. Sql , python one to one person
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Q1. 2 technical round
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Q1. Normal questions
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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
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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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