What does Machine Learning mean for the Future of Data Science?
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what the aim of conducting a/b testing?
Explain the difference between Supervised and Unsupervised Learning through examples.
What do you understand by Linear Regression in R?
Count the total number of trees in United States.
How will you test a machine learning model for accuracy?
How will you drop variables using indices in a data frame?
What is the common perception of visualization?
Do you prefer python or r for text analytics?
Define cluster sampling?
What do you understand by parametric and non-parametric methods? Explain with examples.
Can you define a/b testing?
In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?
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