Asked about the projects I have worked on along with the underlying concepts.
Data Scientists Interview Questions
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Strengths, weaknesses; describe a technical project from initiation to conclusion. Nothing overly difficult.
I was asked to present a project of my own creation or for which I was a major contributor.
how to convert SAM to BAM files?
Working of Random Forest,gradient boosting
Case study
How can you reduce overfitting of a random forest model?
Technical depth in deep learning and machine learning. Thorough understanding of my relevant work experience in machine learning and data science.
1. How to Predict Room Occupancy Based on Environmental Factors. 2. Wine quality using knn 3. vanishing gradient problem 4. Which of activation function can’t be used at output layer to classify an image ? 5. Is K-fold cross-validation linear in K, quadratic in K, cubic in K or exponential in K?
Q. Change the sigmoid function so that it is more narrow?
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