Eaton India Innovation Center Senior Data Scientist Interview Questions and Answers

I have worked on projects involving predictive modeling, natural language processing, and computer vision.

• Developed predictive models for customer churn prediction in a telecom company

• Implemented sentiment analysis using natural language processing techniques on social media data

• Built a computer vision system for detecting defects in manufacturing processes

Accuracy metric is determined by comparing the predicted values with the actual values.

• Calculate the number of correct predictions made by the algorithm

• Divide the number of correct predictions by the total number of predictions made

• Multiply the result by 100 to get the accuracy percentage

• For example, if the algorithm made 80 correct predictions out of 100, the accuracy would be 80%