Deloitte Data Scientist Interview Questions, Process, and Tips

Q1. What is stemming and lematization
Ans. 
Stemming and lemmatization are techniques used in natural language processing to reduce words to their base or root form.
• Stemming is a process of reducing words to their base form by removing suffixes.

• Lemmatization is a process of reducing words to their base form by considering the context and part of speech.

• Stemming is faster but may not always produce a valid word, while lemmatization is slower but produces valid wo...read more
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Q2. Python coding about default values in class and funtions
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Q3. Kmeans clustering evaluation
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Q4. How to measure multicollinearity
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Multicollinearity can be measured using correlation matrix, variance inflation factor (VIF), or eigenvalues.
• Calculate the correlation matrix to identify highly correlated variables.

• Use the variance inflation factor (VIF) to quantify the extent of multicollinearity.

• Check for high eigenvalues in the correlation matrix, indicating multicollinearity.

• Consider using dimensionality reduction techniques like principal componen
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Q1. Explain pipeline flow
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Pipeline flow is the process of moving data through a series of interconnected stages or steps in a systematic manner.
• Pipeline flow involves the sequential movement of data from one stage to another, with each stage performing a specific task or transformation.

• It helps in automating and streamlining the data processing process, making it more efficient and scalable.

• Examples of pipeline flow include data preprocessing, ...read more
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Q2. Where we are using
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Q1. Share details of projects done. But interviewer had his own bias in understanding.
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Q1. Basic ml questions Base python questions Questions from your cv
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It was good , basic projects and coding was asked

Q1. What is neutral network? Explain back propagation. Explain difference in CNN and RNN Live coding questions were also asked
Ans. 
Neural network is a computational model inspired by the way the human brain works, used for machine learning tasks.
• Neural network is a series of algorithms that attempts to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.

• Backpropagation is a technique used to train neural networks by updating the weights of the network to minimize the difference between...read more
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