Question 66. what's Regularization and what reasonably issues will regularization solve?
Answer: Coming soon......
Question 67. what's multiple correlation and the way you'll be able to overcome it?
Answer: Coming soon......
Question 68. what's the curse of dimensionality?
Answer: Coming soon......
Question 69. however does one decide whether or not your simple regression model fits the data?
Answer: Coming soon......
Question 70. what's the distinction between square error and absolute error?
Answer: Coming soon......
Question 71. what's Machine Learning?
Answer: The simplest thanks to answer this question is – we tend to provide the information and equation to the machine. raise the machine to appear at the information and establish the constant values in associate degree equation.
For example for the simple regression y=mx+c, we tend to provide the information for the variable x, y and also the machine learns regarding the values of m and c from the information.
Question 72. however area unit confidence intervals created and the way can you interpret them?
Answer: Coming soon......
Question 73. however can you make a case for provision regression to associate degree economic expert, physician scientist and biologist?
Answer: Coming soon......
Question 74. however are you able to overcome Overfitting?
Answer: Coming soon......
Question 75. Differentiate between wide and tall knowledge formats?
Answer: Coming soon......
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