Data science interview qnas

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Data science interview qnas

DATA SCIENCEINTERVIEW QUESTION & ANSWERSArpit SinghDATA SCIENCE:Qi. What is Data Science? List the differences between supervised and unsupervised lea

Data science interview qnas arning.Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw da

ta.How is this different from what statisticians have been doing for years?The answer lies in the difference between explaining and predicting.1Follow Data science interview qnas

Arpit Singh on Linkedln for more such insightful postsThe differences between supervised and unsupervised learning arc as follows;Supervised Learning

Data science interview qnas

Unsupervised LearningInput data is labelled.Input data is unlabelled.Uses a training data set.Uses the input data set.Used for prediction.Used for ana

DATA SCIENCEINTERVIEW QUESTION & ANSWERSArpit SinghDATA SCIENCE:Qi. What is Data Science? List the differences between supervised and unsupervised lea

Data science interview qnas lection bias is a kind of error that occurs when the researcher decides who is going to be studied. It is usually associated with research where the s

election of participants isn’t random. It is sometimes referred to as the selection effect. It is the distortion of statistical analysis, resulting fr Data science interview qnas

om the method of collecting samples. If the selection bias is not taken into account, then some conclusions of the study may not be accurate.The types

Data science interview qnas

of selection bias include:1Sampling bias: IL is a systematic error due to a non-random sample of a population causing some members of the population

DATA SCIENCEINTERVIEW QUESTION & ANSWERSArpit SinghDATA SCIENCE:Qi. What is Data Science? List the differences between supervised and unsupervised lea

Data science interview qnas or ethical reasons), but the extreme value is likely to be reached by the variable with the largest variance, even if all variables have a similar mea

n.3Data: When specific subsets of data are chosen to support a conclusion or rejection of bad data on arbitrary grounds, instead of according to previ Data science interview qnas

ously stated or generally agreed criteria.4Attrition: Attrition bias is a kind of selection bias caused by attrition (loss of participants) discountin

Data science interview qnas

g trial subjects/tcsts that did not run to completion.2Follow Arpit Singh on Linkedln for more such insightful postsQ3. What is bias-variance trade-of

DATA SCIENCEINTERVIEW QUESTION & ANSWERSArpit SinghDATA SCIENCE:Qi. What is Data Science? List the differences between supervised and unsupervised lea

Data science interview qnas rain your model at that time model makes simplified assumptions to make the target function easier to understand.Low bias machine learning algorithms

— Decision Trees, k-NN and SVMHigh bias machine learning algorithms — Linear Regression, Logistic RegressionVariance: Variance is error introduced in Data science interview qnas

your model due to complex machine learning algorithm, your model learns noise also from the training data set and performs badly on Lest data set. ĨL

Data science interview qnas

can lead to high sensitivity and overfilling.Normally, as you increase the complexity of your model, you will see a reduction in error due to lower bi

DATA SCIENCEINTERVIEW QUESTION & ANSWERSArpit SinghDATA SCIENCE:Qi. What is Data Science? List the differences between supervised and unsupervised lea

Data science interview qnas del and hence your model will start suffering from high variance.Model ComplexityFollow Arpit Singh on Linkedln for more such insightful postsBias-Var

iance trade-off: The goal of any supervised machine learning algorithm is to have low bias and low variance to achieve good prediction performance.1Th Data science interview qnas

e k-nearest neighbour algorithm has low bias and high variance, but the trade-off can be changed by increasing the value of k which increases the numb

Data science interview qnas

er of neighbours that contribute to the prediction and in turn increases the bias of the model.

DATA SCIENCEINTERVIEW QUESTION & ANSWERSArpit SinghDATA SCIENCE:Qi. What is Data Science? List the differences between supervised and unsupervised lea