i have a data set and i want to create small program to apply machine learning algorithms in R the do the following:
- Read the data and split into train and test (n-fold Cross validate)
- Apply grid search for parameter tuning
- Apply Cross Validate
- Apply the following algorithms:
2- Genetic Algorithm (GA)
3- GBT (XGBoost)
And then describe the whole experiment results in a report.
25 freelancers are bidding on average $216 for this job
Hello I work as a financial analyst. I have programming skills in the language of R. I specialize in machine learning and data analysis. As far as large amounts of data in your sample (train)?