Interview Experiences

Interview QnA CRED

Data Scientist Interview QnACompany: CRED 1. What do you understand by the term Normal Distribution? Normal distribution, also known as the Gaussian distribution, is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. In graph form, normal distribution …

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Interview QnA Deloitte

Data Scientist Interview QnACompany: Deloitte 1. Difference between Correlation and Regression. The main difference in correlation vs regression is that the measures of the degree of a relationship between two variables; let them be x and y. Here, correlation is for the measurement of degree, whereas regression is a parameter to determine how one variable …

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Interview QnA Genpact

Data Scientist Interview QnACompany: Genpact 1. Inter quartile ranges? The most effective way to find all of your outliers is by using the interquartile range (IQR). The IQR contains the middle bulk of your data, so outliers can be easily found once you know the IQR. Quartiles divide the entire set into four equal parts. So, there are …

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Interview QnA L&T Financial Services

Data Scientist Interview QnACompany: L&T Financial Services 1. Assumptions in Multiple linear regression The regression has five key assumptions: Linear relationship. Multivariate normality. No or little multicollinearity. No auto-correlation. Homoscedasity 2. Entropy Entropy is a measure of disorder or uncertainty and the goal of machine learning models and Data Scientists in general is to reduce uncertainty. …

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Interview QnA Philips

Data Scientist Interview QnACompany: Philips 1. Time Series (ARIMA)? ARIMA, short for ‘AutoRegressive Integrated Moving Average’, is a forecasting algorithm based on the idea that the information in the past values of the time series can alone be used to predict the future values. 2. How to reduce overfitting ? Techniques to reduce overfitting: Increase …

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