TE Connectivity Data Scientist Interview Questions and Answers

Q1. What metrics can be used to evaluate the performance of a regression model?
Ans. 
Various metrics like Mean Squared Error, R-squared, Mean Absolute Error can be used to evaluate regression model performance.
• Mean Squared Error (MSE) - measures the average of the squares of the errors or deviations

• R-squared (R2) - indicates the proportion of the variance in the dependent variable that is predictable from the independent variables

• Mean Absolute Error (MAE) - measures the average of the absolute errors b...read more
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Q2. What methods can be used to remove a specific type of noise from an image?
Ans. 
Methods like median filtering, Gaussian filtering, and wavelet denoising can be used to remove noise from an image.
• Median filtering replaces each pixel's value with the median value of its neighborhood.

• Gaussian filtering uses a weighted average of neighboring pixels to smooth out noise.

• Wavelet denoising decomposes the image into different frequency bands and removes noise from each band separately.
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Machine learning-based problem.