51. Can we calculate the skewness of variables based on mean and median?
52. It is possible to design a Linear regression algorithm using a neural network?
53. If Linear regression model perfectly first i.e., train error is zero, then . . . . . . . .
54. Increase in size of a convolutional kernel would necessarily increase the performance of a convolutional network.
55. To control the size of the tree, we need to control the number of regions. One approach to do this would be to split tree nodes only if the resultant decrease in the sum of squares error exceeds some threshold. For the described method, which among the following are true?
a. It would, in general, help restrict the size of the trees
b. It has the potential to affect the performance of the resultant regression/classification model
c. It is computationally infeasible
a. It would, in general, help restrict the size of the trees
b. It has the potential to affect the performance of the resultant regression/classification model
c. It is computationally infeasible
56. Which of the following is the difference between stacking and blending?
57. Logistic regression is a . . . . . . . . regression technique that is used to model data having a . . . . . . . . outcome.
58. You are given reviews of few netflix series marked as positive, negative and neutral. Classifying reviews of a new netflix series is an example of
59. In following type of feature selection method we start with empty feature set
60. Neural Networks are complex . . . . . . . . with many parameters.
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