Comment a email classification project, and implement a small graph

I'm classfying emails into spam and non spam using the common code that uses python. I would like someone to a, comment the code and explain to me what is happening and how the classification works (aka how it detects the difference between spam and non spam) and also add a way of visualising the data with matplotlib or something. It should be a relatively quick and easy project so not expecting a large amount of work.

Skills: Machine Learning, Python

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About the Employer:
( 7 reviews ) UK, United Kingdom

Project ID: #18199754

8 freelancers are bidding on average $25 for this job


My profile is as follows:- 4 years of experience in data science,machine learning and artificial intelligence solving complex problems - Proficient in R, Python, SQL,Matlab ; Hands on experience with VBA & Tabl More

$30 USD in 1 day
(37 Reviews)

ok lets discuss it and explain it together it will not take long time at all hope to listen from you soon

$25 USD in 1 day
(16 Reviews)

Hi, i have many years of python experience and can help you out with this project. I also have a lot of experience working with matplotlib. When you say you want to visualise the data, in what way do you mean? Pleas More

$26 USD in 1 day
(6 Reviews)

Hi I have already done this work. I will improve further for you. Check out my GITHUB [login to view URL]

$20 USD in 1 day
(9 Reviews)

you will be satisfied with my work as Know many machine learning akgorithms such as KNN , DT, NB and I will explain the code to you Hi,i'm a data scientist with a BS degree in computer science i will do your task as More

$30 USD in 3 days
(12 Reviews)

I have been working on NLP, ML since two years, and also studied about the same email classification using naive bayes.

$15 USD in 1 day
(1 Review)

Could you send a message to me the number of lines of your code? It'll be very easy to estimate the deadline correctly. Thank you.

$25 USD in 2 days
(0 Reviews)

I think I can help you with that

$25 USD in 3 days
(0 Reviews)