- Supervised Learning
- Classification
- Regression
- Time Series Forecasting
- Unsupervised Learning
- Clustering
- K-Means Clustering
- Hierarchical Clustering
- Semi-Supervised Learning
- Reinforcement Learning(ML)
- Deep Learning(ML)
- Transfer Learning(ML)
- Ensemble Learning
- Explainable AI (XAI)
- Bayesian Learning
- Decision Trees
- Support Vector Machines (SVMs)
- Instance-Based Learning
- Rule-Based Learning
- Neural Networks
- Evolutionary Algorithms
- Meta-Learning
- Multi-Task Learning
- Metric Learning
- Few-Shot Learning
- Adversarial Learning
- Data Pre Processing
- Natural Language Processing(ML)
Data Pre Processing QUIZ QUESTIONS
Question: 1
What are the different types of attributes?
Question: 2
Examples of Nominal can be:
Question: 3
Examples of Ordinal can be:
Question: 4
Examples of Interval can be:
Question: 5
The type of a Nominal attribute depends on which of the following properties:
Question: 6
The type of an Interval attribute depends on which of the following properties:
Question: 7
The type of an Ordinal attribute depends on which of the following properties:
Question: 8
Important Characteristics of Structured Data are:
Question: 9
What are some examples of data quality problems:
Question: 10
Which Method is used for encoding the categorical variables?
Question: 11
Under fitting happens due to -
Question: 12
Over fitting happens due to -
Question: 13
Why do we need feature transformation?
Question: 14
Which of the following is true about outliers -
Question: 15
Some of the Imputation methods are -
Question: 16
Which algorithm does not require feature scaling?
Question: 17
The purpose of feature scaling is to -
Question: 18
In standardization, the features will be rescaled with -
Question: 19
What is a Dummy Variable Trap?
Question: 20
Which of the following(s) is/are features scaling techniques?
Question: 21
The characteristic of a good dataset is-
Question: 22
How to handle the missing values in the dataset?
Question: 23
The correct way of pre processing the data should be-
Question: 24
Which one is a feature extraction example?
Question: 25
Which of these techniques is used for normalization in text mining?
Question: 26
What stemming refers to in text mining?
Question: 27
Which is the correct order for pre processing in Natural Language Processing?
Question: 28
Bag of Words in text pre processing is a-
Question: 29
In text mining, how the words ‘lovely’ is converted to ‘love’-
Question: 30
Stop words are-