T-Systems ICT India Data Scientist Interview Questions and Answers

It was easy to medium. There are three sections English, Logical Reasoning and Technical mcq.

Data Science Problem, they want to know your statistics, prob, and machine learning.

Q1. What are hyperparameters in random forest
Ans. 
Hyperparameters in random forest are parameters that are set before the learning process begins.
• Hyperparameters control the behavior of the random forest algorithm.

• They are set by the data scientist and are not learned from the data.

• Examples of hyperparameters in random forest include the number of trees, the maximum depth of trees, and the number of features considered at each split.
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Q2. How to do QnA system with LLM
Ans. 
A QnA system with LLM is a system that uses the Language Model for Information Retrieval and Question Answering.
• Preprocess the input question and convert it into a format suitable for the LLM model.

• Fine-tune the LLM model on a dataset of question-answer pairs.

• Use the fine-tuned model to generate answers for new questions.

• Evaluate the performance of the QnA system using metrics like precision, recall, and F1 score.

• Itera...read more
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Q3. How to do unit testing
Ans. 
Unit testing is a process of testing individual units of code to ensure they function correctly.
• Write test cases for each unit of code

• Test inputs, outputs, and edge cases

• Use testing frameworks like JUnit or pytest

• Automate tests to run regularly

• Ensure tests are independent, isolated, and repeatable
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Q1. Python coding questions followed by machine learning , deep learning algorithms
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Q1. Explain confusion matrix Define what is p value Explain k means vs decion tree
Ans. 
Confusion matrix is a table used to evaluate the performance of a classification model. P value is a measure of the strength of evidence against the null hypothesis. K-means is a clustering algorithm while decision tree is a classification algorithm.
• Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.

• P value is the probability ...read more
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Q1. What is nlp and explan cnn
Ans. 
NLP stands for Natural Language Processing, while CNN refers to Convolutional Neural Networks.
• NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.

• CNN is a type of deep learning algorithm commonly used for image recognition and classification tasks.

• CNNs are also used in NLP for tasks like text classification and sentiment analysis.
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Coding and AI related Questions

Q1. Detail technical questions on projects
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DSA,ML,SQL,stats,DL,