Explain the benefits of using statistics by data scientists
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What functions are required to principal analysis in R?
Do we have different selection biases, if yes, what are they?
What is the differences between univariate, bivariate and multivariate analysis?
Give some situations where you will use an SVM over a RandomForest Machine Learning algorithm and vice-versa?
What do you understand by normal distribution?
How can you check if a data set or time series is random?
If we added one rider to the current SF market, how would that affect the existing riders and drivers?
What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?
How will you define the number of clusters in a clustering algorithm?
What is association analysis? Where is it used?
What is meant by Random Forest Classifier?
Is 8gb ram enough for data analysis?
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