Explain about the various time series forecasting technqiues.
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How and by what methods data visualizations can be effectively used?
A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?
Is 8gb ram enough for data analysis?
What are the variants of back propagation?
What is a data science job?
What is clustering? What is the difference between kmeans clustering and hierarchical clustering?
How would churn help predict and control churn for a customer?
What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
Which plot will you use to access the uncertainty of a statistic?
What do you understand by the job description of data scientist?
How long should a pip last?
How does data cleaning plays a vital role in analysis?
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