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I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.
Model deployment lifecycle involves planning, development, testing, deployment, monitoring, and maintenance.
1. Planning: Define the problem, gather requirements, select algorithms.
2. Development: Train the model, optimize performance, validate results.
3. Testing: Evaluate model performance, ensure accuracy and reliability.
4. Deployment: Integrate model into production environment, make it accessible for predictions.
5. ...
I applied via Job Portal and was interviewed in Apr 2024. There was 1 interview round.
I applied via Company Website and was interviewed before Nov 2022. There were 3 interview rounds.
Questions based on Python & SQL
Case study round was good and interactive
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
I applied via Recruitment Consulltant and was interviewed in Jul 2024. There were 2 interview rounds.
Its good experience of mine & it's first company of life
I applied via Naukri.com and was interviewed before Oct 2023. There were 2 interview rounds.
Maths is difficult , long aptitude test
Seeking new challenges and opportunities for growth.
Desire for career advancement
Looking for new challenges
Opportunity for professional growth
A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
Allows users to summarize and analyze large datasets
Can easily reorganize data by dragging and dropping fields
Provides options to calculate sums, averages, counts, etc. for data
Helps in creating interactive reports and charts
Useful for identifying trends and patterns in data
I applied via Referral
Standard online test
ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.
ETL stands for Extract, Transform, Load
Extract: Involves extracting data from various sources such as databases, applications, and files
Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...
based on 2 interviews
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