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I applied via Recruitment Consultant and was interviewed before May 2020. There were 3 interview rounds.
There are several open source time series prediction models available for use in Telecom.
Prophet: A forecasting model developed by Facebook that is widely used for time series prediction in various industries including Telecom.
ARIMA: A popular statistical model for time series forecasting that can be used in Telecom to predict future trends.
LSTM: A type of recurrent neural network (RNN) that is effective in capturing l...
Our model had an accuracy rate of 95%.
Our model was tested on a dataset of 1000 samples.
Out of those 1000 samples, 950 were classified correctly.
We used a variety of evaluation metrics to measure accuracy, including precision and recall.
I applied via Recruitment Consulltant and was interviewed before Aug 2022. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in Mar 2021. There were 4 interview rounds.
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I appeared for an interview in Mar 2017.
To make the red fishes 98%, 50 fishes have to be removed from the aquarium.
Calculate 1% of 200 fishes, which is 2 fishes.
To make the red fishes 98%, subtract 1% (2 fishes) from 99% (198 fishes).
To find the number of fishes to be removed, divide the difference by 1% (2 fishes).
Therefore, 50 fishes have to be removed to make the red fishes 98%.
I appeared for an interview in Feb 2017.
I appeared for an interview in Mar 2017.
To make the red fishes 98%, 50 fishes have to be removed from the aquarium.
Calculate 1% of 200 fishes to find the number of red fishes.
Subtract the number of red fishes from 200 to find the number of non-red fishes.
Calculate 2% of the total number of fishes to find the desired number of red fishes.
Subtract the desired number of red fishes from the current number of red fishes to find the number of fishes to be removed.
posted on 3 May 2017
I appeared for an interview before May 2016.
based on 2 interviews
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