Machine Learning / RStudio Help
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I need to complete a simple Machine Learning exercise.
The problem is to improve the performance of the model used to model customer churn.
You have the freedom to use any model or supervised or unsupervised learning technique, preprocessing techniques or other techniques. The only goal is to have a model that performs better than the model used in the test. The performance metric used will be ROC AUC, but this does not prevent you from using other metrics.
If you use multiple models, you should plot the ROC curves of all the models used in a single graph.
Attached is the code used to generate the results of the problem addressed in the written exam as well as the database.
Propose improvements to achieve better results.
PS. The attached code does not contain the first part of preprocessing. It is up to you to propose preprocessing according to the model's needs.
ID проекта: #36688089
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Hello, I understood the project but have few doubts, please text me so i can clear all my questions right away and to confirm my skills and expertise you can have a look to my profile
Greetings Sir I am data analyst having extensive experience in ML by using Rstudio. I have done projects in Rstudio. Please inbox me for further discussion
Hi Client I am an expert Machine learning engineer who is currently working at Google India.. I can easily do your both task as I am master in python and R.