WorksheetsChapter 3- predictive models
Total questions: 10
Worksheet time: 14mins
What is the 2 types of variables in Linear Regression?
Invisible and visible variable.
dependent variable and independent variable.
transparent variable
independent and visible variable.
What is the statistical model?
Predictive Paradigm.
Machine learning.
statistical learning.
Mathematical representation of observed data.
What are 4 types of data analysis?
1) Structured data
2) Unstructured data
3) Semi-structured data
4)
1) Linear regression
2) KNN
3) Decision Tree
4) Neural Network
1) Data Profiling
2) Data cleansing
3) Data transformation
4)Data validation
1) Descriptive
2) Diagnostic
3) Predictive
4) Prescriptive
Simple Linear Regression is one of linear regression. choose the the other type of linear regression.
Multiple linear regression
One layer regression
Duplex regression
non-linear regression
What is KNN?
Clustering algorithm is used to find groups which have not been explicitly labeled in the data
Simplest forms of machine learning algorithms mostly used for classification. It classifies the data point on how its neighbor is classified
Used in applications like handwriting recognition, intrusion detection, face detection, email classification, gene classification, and in web pages.
The advantages of decision tree (DT)
1) Interpretability. 2) Less Data Preparation.
3) Non-Parametric. 4) Versatility.
1) Overfitting
2) Feature Reduction & Data 3) Resampling.
4) Optimization.
unstable
Model of neuron consists of?
1) Nucleus
2) cell
3) Neutron
1) Dendrites
2) synapse
3) soma
4) Axon
1) Axon
2) Myelin Sheath
3) Node
4) Cell of body
List 2 types of architecture of NN.
What is SVM?
What are the differences between classification and clustering?
