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Standard DSA questions
Anomaly detection in unstructured data involves using techniques like clustering, outlier detection, and natural language processing.
Use clustering algorithms like k-means or DBSCAN to group similar data points together.
Apply outlier detection methods such as isolation forests or one-class SVM to identify anomalies.
Utilize natural language processing techniques like word embeddings or topic modeling for text data.
Consi...
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I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
Bias and variance are two types of errors that can occur in a model.
Bias refers to the error introduced by approximating a real-world problem, leading to underfitting.
Variance refers to the error introduced by modeling the noise in the training data, leading to overfitting.
Balancing bias and variance is crucial for creating a model that generalizes well to unseen data.
I applied via Company Website and was interviewed in Mar 2024. There were 2 interview rounds.
A business data related project that you should build a model for it.
I applied via Approached by Company and was interviewed in Jul 2024. There was 1 interview round.
Python and sql based questions
I applied via Job Portal
A/B Testing, data structures
I applied via LinkedIn and was interviewed before Jan 2024. There were 4 interview rounds.
Case Study was related to customer propensity to buy.
I applied via Referral and was interviewed before Aug 2022. There were 3 interview rounds.
Retail case study, with soft skills is required for this round
I applied via Naukri.com and was interviewed in Nov 2021. There were 2 interview rounds.
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