machine-learning
linear-regression
+3
There are three types of most popular Machine Learning algorithms, i
•
Last updated:
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: