ABB Data Scientist Interview Questions and Answers

Around 50 Data science questions in the MCQ format, it was conducted on hacker earth platform, wnough time was available to answer all of them

Q1. 1.Machine learning questions based on different models, kernal functions, decision trees.
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Q2. 2, They asked SQL queries and python outputs and basic definitions and differences
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Predictive modeling project

Q1. Explain the project and that related questions only.
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Q1. Tell me a project you did in school that shows innovation?
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Q1. What is the difference between AI, deep learning and machine learning
Ans. 
AI is the broader concept of machines being able to carry out tasks in a way that we would consider smart. Machine learning is a subset of AI that allows machines to learn from data. Deep learning is a subset of machine learning that uses neural networks with many layers to model and solve complex problems.
• AI is the broader concept of machines being able to carry out tasks in a way that we would consider smart.

• Machine ...read more
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Python programming for 45 for minutes

Q1. What are the hyperparameters of SVM
Ans. 
Hyperparameters of SVM include C, kernel, gamma, degree, and coef0.
• C: Regularization parameter that controls the trade-off between achieving a low error on the training data and minimizing model complexity.

• Kernel: Specifies the type of hyperplane used to separate the data.

• Gamma: Kernel coefficient for 'rbf', 'poly', and 'sigmoid' kernels.

• Degree: Degree of the polynomial kernel function.

• Coef0: Independent term in kernel...read more
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Q2. How to tune that hyperparameters
Ans. 
Hyperparameters can be tuned using techniques like grid search, random search, and Bayesian optimization.
• Grid search: Exhaustively search through a specified subset of hyperparameters.

• Random search: Randomly sample hyperparameter combinations.

• Bayesian optimization: Use probabilistic models to predict the performance of different hyperparameter configurations.
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Q1. Basic SQL , Joins , Stored procedures ,functions
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