Data Mining Homework (R)


I'm having hard time to do my data mining homework in R.

It's for my master degree and I don't have much time. I'm not that bad so I should be able to understand what you've done.

I'll send you the complete details of the homework you'll have a 4601 x 58 table in a .csv file whi([url removed, login to view]).

This .csv file got informations regarding a company that is trying to identy non-spam or spam email. With this you'll need to do in R :

-Do an ACP

-Do an AFD

Explain why those techniques are not enough for the analysis.

Then in R do :

-Neural analysis


Say wich one is the best

Conclusion : explain the difference of those techniques what makes one better than the other

Let me know !

Compétences : Exploitation de Données, Science des données, Apprentissage Automatique, Langage de programmation R, Analyses statistiques

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Concernant l'employeur :
( 11 commentaires ) Cayenne, French Guiana

Nº du projet : #15642603

18 freelance font une offre moyenne de €68 pour ce travail


I have a good hand on working with Advanced Excel, R and Python. I have quite a good knowledge of deep learning Algorithm , have also developed dashboards and Shiny Web Application in R Relevant Skills and Experience Plus

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