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I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.
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I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.
60 min hackerrank test,with one mysql medium difficulty question and one python medium/little hard level difficulty
I applied via Job Portal and was interviewed before Feb 2023. There was 1 interview round.
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.
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...
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
I applied via Company Website and was interviewed before Dec 2023. There were 2 interview rounds.
It was of hackerrank and 2 question
I have worked on various projects involving machine learning algorithms, hyperparameter tuning, cross validation, and evaluation metrics.
Developed a predictive model for customer churn using logistic regression and decision trees
Used random forest algorithm for image classification in a computer vision project
Implemented hyperparameter tuning using grid search and randomized search for a sentiment analysis project
Evalu...
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