README Ajit Chavhan 03/12/2020 Random Forest algorithm demonstration File Structure: readme.txt company_analysis random_forest_company fraud_analysis random_forest_fraudCheck random_forest_iris iris_analysis total_result Development Environment: My script was developed RStudio Version 1.3.1056 Usage: Install RStudio. Open file in RStudio and change the code according to you dataset for various situations and run it. File Description random_forest_company- file in R language covering objective of company dataset company_analysis- This file contains the different outcome of r function to observe the output and act accordingly on company dataset random_forest_fraudCheck- file in R language covering objective of fraud dataset fraud_analysis- This file contains the different outcome of r function to observe the output and act accordingly on fraud dataset random_forest_iris- file in R language covering objective of by default dataset iris iris_analysis- This file contains the different outcome of r function to observe the output and act accordingly on iris dataset total_result - It is an set of results of accuracy figure on company/fraud/iris dataset objective:- (1) company dataset - A cloth manufacturing company is interested to know about the segment or attributes causes high sale. (2) Fraud dataset - Use random forests to prepare a model on fraud data, treating those who have taxable_income <= 30000 as "Risky" and others are "Good" (3) iris dataset- Build a random forest for the ‘iris’ data. Note :- I have added some png files which are the different graphs on both the datasets for EDA and result observation purpose. Also added the snapshot dataset.