LHS, Feature importance with random Forest, and K-means

Job ID: 36341380

Budget: £10 – £20 GBP

Hi all,
It's a small project. The clustering with K-means is done and now, we want to find a measure for propagation of each cluster by which we can select more samples from the cluster with more propagation. Next, LHS or Monte Carlo simulation will be done from the results of the previous step. Also, there is a database in CSV format and a python code is written for feature importance via Random Forest but it encounters an error. You are expected to solve this error as well. The estimated budget is £30.00
Related categories: Python Machine Learning (ML) Data Analysis