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I applied via Company Website and was interviewed in Sep 2024. There was 1 interview round.
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I applied via LinkedIn
Pruning is a technique used in machine learning to reduce the size of decision trees by removing unnecessary branches.
Pruning helps prevent overfitting by simplifying the model
There are two main types of pruning: pre-pruning and post-pruning
Pre-pruning involves setting a limit on the depth of the tree or the number of leaf nodes
Post-pruning involves removing branches that do not improve the overall accuracy of the tree
...
I applied via Walk-in and was interviewed before Feb 2023. There was 1 interview round.
I am a passionate student eager to learn and contribute, with a background in project management and a keen interest in technology.
Currently pursuing a degree in Computer Science, focusing on software development.
Completed an internship at XYZ Corp, where I assisted in developing a mobile application.
Active member of the university coding club, participating in hackathons and workshops.
Volunteered for a local non-profi...
I appeared for an interview before Mar 2024, where I was asked the following questions.
I applied via LinkedIn and was interviewed before Sep 2022. There were 2 interview rounds.
I possess a strong academic background and relevant skills that align with the requirements for this internship position.
Educational Background: I am currently pursuing a degree in Computer Science, where I have gained foundational knowledge in programming and software development.
Technical Skills: I have hands-on experience with Java, HTML, CSS, and JavaScript, having completed projects that involved building web appl...
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation
For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest
Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf
ROC curve is a graphical representation of...
Data Scientist interview questions on model building, hyperparameters, ROC curve, gradient boosting, and real estate valuation
For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forests
Random forest hyperparameters include number of trees, maximum depth, and minimum samples for a leaf node
ROC curve is a graphical representation of the trad...
I applied via Naukri.com and was interviewed before May 2023. There were 2 interview rounds.
posted on 2 Feb 2024
I applied via Campus Placement and was interviewed before Feb 2023. There were 3 interview rounds.
Aptitude test involving coding
posted on 18 Nov 2024
based on 1 interview experience
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