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Regularization techniques can be used to overcome over fitted models.
Use L1 or L2 regularization
Cross-validation can help in identifying overfitting
Reduce model complexity by removing unnecessary features
Increase training data size
Early stopping can prevent overfitting
Ensemble methods like bagging and boosting can help in reducing overfitting
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I applied via Approached by Company and was interviewed in Aug 2021. There were 2 interview rounds.
I applied via Indeed and was interviewed in Jan 2021. There was 1 interview round.
I applied via LinkedIn and was interviewed in Sep 2024. There was 1 interview round.
Normal apti questions
Case was given we have to do it, we have to say it without seeing
Write the video script for a topic provided by the upgrad team and create a ppt for an video script.
A linked list is a linear data structure where elements are stored in nodes with each node pointing to the next node in the sequence.
Consists of nodes connected by pointers
Can be singly linked or doubly linked
Allows for dynamic size and efficient insertion/deletion
Regular aptitude questions were asked
I applied via Naukri.com and was interviewed in May 2021. There were 4 interview rounds.
Alternative ways to find user ID 5
Search through database using SQL query
Check user activity logs
Ask user for their ID
Use a web scraping tool to extract user ID from website
I applied via Campus Placement and was interviewed in May 2024. There were 3 interview rounds.
Time and distance , Relationship, profit or loss
Python, sql coding ,
I appeared for an interview in Sep 2021.
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