Tridiagonal Solutions Data Scientist Interview Questions and Answers

Predictive modeling project

Q1. Explain the project and that related questions only.
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Q1. When do we use PCA?
Ans. 
PCA is used to reduce the dimensionality of data by finding the most important features.
• PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.

• It helps in visualizing data in lower dimensions while retaining as much variance as possible.

• PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.
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Q2. PCA is a dimensionality reduction technique and is used to reduce the less useful features from the dataset
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Q1. LTTS data science interview
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Q1. Tell me a project you did in school that shows innovation?
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Q1. About your project and experience
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Core Python questions were asked

Q1. Firstly discuss with HR about the job role and confirmed of technical round interview schedule then I did receive the date and time
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Q1. In the technical round will meet with the technical person of the data scientist and I gave the interview starting was very good going but I have stuck in some questions then I didn't select in Infosys
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