...
Full Bio
Artificial Intelligence And Its Genre
292 days ago
Must Aware About The Data Mining Techniques
293 days ago
Gaining Top 5 Soft Skills To Flourish In Data Science Field
296 days ago
Automation Anywhere Join Hands With Microsoft To Advance The Adoption Of RPA Technology
485 days ago
Listed Key Characteristics Of Cloud Computing
571 days ago
List Of Top 5 Programming Skills Which Makes The Programmer Different From Others?
131019 views
These Computer Science Certifications Really Pay Good To You
128808 views
Which Programming Language Should We Use On A Regular Basis?
119745 views
Cloud Engineers Are In Demand And What Programming Language They Should Learn?
109098 views
Python Opens The Door For Computer Programming
80625 views
Machine Learning Algorithms: Data Scientists Should Know
- Internal Node: Represents a test on the attribute.
- Branch: Represents the outcome of the test.
- Leaf Node: Represents a particular class label like decision made after computing all of the attributes.
- This is also known as logit model or logit regression.
- In logistics regression, the dependent variable is a categorical.
- It models the probabilities of the default class.
- The regression coefficients are estimated using the maximum likelihood method.
- Binary logit model is one where the dependent variable can only take a value 0 or 1.
- Multinomial logit model is one where the dependent variable can have three or more possible types and are not ordered.
- Ordinal logit model is one where dependent variable can have many types and are ordered.
- It is an unsupervised machine learning algorithm.
- It generated association rules from the given data sets.