beginner

1.###### Logistic Regression is used to estimate discrete values (usually binary values like 0/1) from a set of independent variables.

###### Logistic Regression is used to estimate discrete v...

Last updated:

Time allocated:

Type:

beginner

2.###### The regression line is known as Y=mx

###### The regression line is known as Y=mx

Last updated:

Time allocated:

Type:

intermediate

3.###### How is a relationship established between independent and dependent variables?

###### How is a relationship established between independ...

Last updated:

Time allocated:

Type:

intermediate

4.###### Decision Tree algorithm works well in classifying both continuous dependent variables and what other type of variables?

###### Decision Tree algorithm works well in classifying ...

Last updated:

Time allocated:

Type:

beginner

5.###### SVM algorithm is a method of a classification algorithm in which you plot raw data as points in an n-dimensional space (where n is the number of features you have).

###### SVM algorithm is a method of a classification algo...

Last updated:

Time allocated:

Type:

intermediate

6.###### What does a Naive Bayes classifier assume is unrelated to the presence of any other feature?

###### What does a Naive Bayes classifier assume is unrel...

Last updated:

Time allocated:

Type:

beginner

7.###### Even if these features are related to each other, a Naive Bayes classifier would consider all of these properties independently when calculating the probability of a particular outcome.

###### Even if these features are related to each other, ...

Last updated:

Time allocated:

Type:

expert

8.###### Knn algorithm can be applied to both classification and ___ problems.

###### Knn algorithm can be applied to both classificatio...

Last updated:

Time allocated:

Type:

beginner

9.###### K-means clustering is a supervised machine learning algorithm.

###### K-means clustering is a supervised machine learnin...

Last updated:

Time allocated:

Type:

expert

10.###### The K-means algorithm picks k number of points, called centroids, for each ___

###### The K-means algorithm picks k number of points, ca...

Last updated:

Time allocated:

Type:

intermediate

11.###### What is a Random Forest?

###### What is a Random Forest?

Last updated:

Time allocated:

Type:

beginner

12.###### Boosting is an ensemble learning algorithm that combines the predictive powerlessness of several base estimators to improve robustness.

###### Boosting is an ensemble learning algorithm that co...

Last updated:

Time allocated:

Type: