Random forest algorithm In Machine Learning

1
Random forest algorithm In Machine Learning
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
2
Table Of Content

1. What is Random forest algorithm ?
2. Why is Random forest algorithm Important?
3. How does Random forest algorithm work?
4. Applications of Random forest algorithm

https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
3
What is Random forest algorithm ?
The widely used machine learning technique known
as random forest, which combines the output of
different decision trees to produce a single
result, was developed by Leo Breiman and Adele
Cutler. Because it can address regression and
type concerns, its adaptability and usability
have prompted its widespread use.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
4
Why is Random forest algorithm Important?
The random forest classifier helps from feature
bagging by maintaining accuracy even when a
portion of the data is missing, which makes it a
useful tool for guessing out values. Easy
evaluation of feature contribution Random
forest makes it simple to evaluate variable
contribution.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
5
How does Random forest algorithm work?
Choose random models from the specified data or
training set. This application will make a
decision tree for each training data set. During
voting, the choice tree will be averaged. Make
the prediction output with the most votes in the
last decision.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
6
Applications of Random forest algorithm

• Product Recommendation
• Cost Optimization
• Customer Segmentation
• Cardiovascular Disease Prediction
• Diabetes Prediction
• Breast Cancer Prediction
• Credit Card Fraud Detection
• Stock Market Prediction
• Stock Market Sentiment Analysis
• https//1stepgrow.com/course/advance-data-science-
  and-artificial-intelligence-course/

7
THANK YOU!
For Information,Please Visit https//1stepgrow.c
om/