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I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.
I applied via LinkedIn and was interviewed in Aug 2024. There was 1 interview round.
Developed a machine learning model to predict customer churn for a telecom company
Used Python and scikit-learn for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model using metrics like accuracy, precision, and recall
Implemented the model in a production environment for real-time predictions
45 mins.
questions based on basic string manipulation but not a straightforward task
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2 DSA Codes were there with python
I applied via Company Website and was interviewed before Sep 2022. There were 2 interview rounds.
It was very stressful
I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.
Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.
Evaluate the model using appropriate...
I applied via LinkedIn and was interviewed before Apr 2023. There was 1 interview round.
fbprophet is a forecasting model developed by Facebook that uses time series data to make predictions.
fbprophet is an open-source forecasting tool developed by Facebook's Core Data Science team.
It is based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.
fbprophet can be used to forecast traffic by providing historical data on traffic patterns and usi...
posted on 21 Oct 2022
I applied via Approached by Company and was interviewed in Sep 2022. There were 3 interview rounds.
based on 6 interviews
1 Interview rounds
based on 8 reviews
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