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Recall was chosen for the ML model to prioritize minimizing false negatives.
Chose recall to focus on identifying all relevant cases, even if it means more false positives
In scenarios where missing a positive case is more costly than incorrectly labeling a negative case
Commonly used in medical diagnosis to ensure all potential cases are identified
Basically, it was a managerial round
Low bias and high variance refer to the trade-off between model complexity and generalization ability.
Low bias refers to a model that makes strong assumptions about the data, leading to high accuracy on training data but potentially poor performance on unseen data.
High variance refers to a model that is very sensitive to small fluctuations in the training data, leading to overfitting and poor generalization.
Finding the...
Multicollinearity occurs when independent variables in a regression model are highly correlated.
Multicollinearity can lead to unstable estimates of the coefficients in the regression model.
It can make it difficult to determine the effect of each independent variable on the dependent variable.
One common way to detect multicollinearity is to calculate the variance inflation factor (VIF) for each independent variable.
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2 hours of coding with 2 Questions
TCS interview questions for designations
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I applied via Naukri.com and was interviewed in Aug 2023. There was 1 interview round.
General qa like cat paper and 2 coding questions
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression is used when the dependent variable is binary (e.g., 0/1, yes/no, true/false).
It estimates the probability that a given observation belongs to a particular category.
It uses the logistic function to model the relationship between the dependent variable and independen...
I applied via Job Portal and was interviewed in Dec 2022. There were 2 interview rounds.
Faster-RCNN and Yolo v3 are both object detection algorithms, but differ in their approach and performance.
Faster-RCNN uses a two-stage approach, first generating region proposals and then classifying them.
Yolo v3 uses a single-stage approach, directly predicting bounding boxes and class probabilities.
Faster-RCNN is generally more accurate but slower, while Yolo v3 is faster but less accurate.
Faster-RCNN is better suit...
RNN uses techniques like gradient clipping, weight initialization, and LSTM/GRU cells to handle exploding/vanishing gradients.
Gradient clipping limits the magnitude of gradients during backpropagation.
Weight initialization techniques like Xavier initialization help in preventing vanishing gradients.
LSTM/GRU cells have gating mechanisms that allow the network to selectively remember or forget information.
Batch normaliza...
I was interviewed before Dec 2023.
Python, basics OOP, ML, MLOps
TSA stands for Transportation Security Administration. It is a government agency responsible for security at airports and other transportation hubs.
TSA was created in response to the September 11, 2001 terrorist attacks in the United States.
Its main goal is to ensure the security of passengers and transportation infrastructure.
TSA agents screen passengers and luggage for prohibited items before they board flights.
The a...
Polymorphism is the ability of a function or method to behave differently based on the object it is acting upon.
Polymorphism allows objects of different classes to be treated as objects of a common superclass.
It enables a single interface to represent multiple data types.
Examples include method overloading and method overriding in object-oriented programming.
I applied via Indeed and was interviewed before Sep 2023. There was 1 interview round.
The duration of TCS Data Scientist interview process can vary, but typically it takes about less than 2 weeks to complete.
2 Interview rounds
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