Acviss Data Scientist Interview Questions and Answers

Ml, nlp, python, sql, random forest

Q1. Technical data scientist projects related situations based questions
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Q1. What machine learning algorithm you have used ?
Ans. 
I have used various machine learning algorithms including linear regression, decision trees, random forests, support vector machines, and neural networks.
• Linear Regression

• Decision Trees

• Random Forests

• Support Vector Machines

• Neural Networks
Answered by AI
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Q1. Given A Data Set And Find any anomalies and how to clean up this data
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Q2. Basic SQL/Pandas
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Defect detection based on IV reading

Q1. ML basics like preprocessing step , balance imbalance dataset, correlation
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Q1. Basic Machine Learning and Deep Learning Questions
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Q1. Live coding test on python
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Q1. Salary discussion’s
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Q1. Projects, Ml basics, EDA basics, buisiness intelligence, communication, personality testing, etc.
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Build a model using machine learning algorithms and predict the dependent column.

Q1. About my self introduction , my skill, my educational knowledge. About my family background and internship. How I learn machine learning . what is my salary expectations. current salary.
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Q2. What about my internship difficulty .
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Q1. 1 project intro 2 technical questions
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Q1. Technical questions Project intro
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Q1. Salary Preferred location
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Q2. Same as above Salary and location
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