Login using Social Account
Login using your credentials
PCA is an unsupervised learning process. True or False ?
True
False
Depends on the data
Taking you to the next exercise in seconds...
Stay here Next Exercise
Want to create exercises like this yourself? Click here.
No hints are availble for this assesment
Answer is not availble for this assesment
Go Back to the Course
1 Challenges in AI/ML Project
2 Data augmentation can be done only for images
3 What do we use when data is too little?
4 Which of the following are reasons why do we dimensionality reduction
5 dataset with large number of features
6 PCA is an unsupervised learning process
7 Time-series data imputation
8 Which of the data augment techniques are okay for images of people for gender prediction?
9 Data Augmentation for human voice to text?
10 Should we feed zero variance features to algorithm for training?
11 Dimensionality Reduction
12 Will PCA remove the common border from images?
13 Do we lose information in Dimensionality Reduction?
14 Advantages of Dimensionality Reduction
15 What to do in case of missing values?
16 Overfitting or Underfitting?
17 Methods to avoid over-fitting
18 Regularization adds the penalty as model complexity increases
19 Model gets trained with limited data
20 Pre-trained neural network models
Loading comments...