Regardless of how labor-intensive and difficult to modify your files are, DocHub gives a simple way to change them. You can modify any element in your odt with no extra resources. Whether you need to fine-tune a single component or the entire document, you can rely on our powerful tool for quick and quality outcomes.
Moreover, it makes sure that the final file is always ready to use so that you can get on with your projects without any slowdowns. Our all-encompassing set of features also features pro productivity tools and a collection of templates, letting you take full advantage of your workflows without wasting time on recurring tasks. On top of that, you can gain access to your documents from any device and incorporate DocHub with other solutions.
DocHub can handle any of your document management tasks. With an abundance of features, you can generate and export documents however you prefer. Everything you export to DocHub’s editor will be stored safely for as long as you need, with strict security and data security frameworks in place.
Try out DocHub now and make handling your documents easier!
and so we can now go ahead to clean our data so as I mentioned weamp;#39;re going to drop the patientamp;#39;s ID column to prevent us from overheating and weamp;#39;re also going to encode the diabetes column as a category so that is basically what weamp;#39;re doing here and weamp;#39;re going to use the library Janita R has a lot of libraries and a lot of packages that make your work easier so just consider looking into all the developments that are going into making using are quite simple for you Iamp;#39;m just going to run that cell and then so now you see we have our diabetic column has now become a factor factor of zero and one the rest have remained the same and we donamp;#39;t have the patient ID column anymore so the next thing now weamp;#39;re going to do is weamp;#39;re trying to understand the relationships between our data attributes
