/Prognosis-and-Classification-Project

Primary LanguageJupyter Notebook

Prognosis-and-Classification-Project

This is a small project realized by me within my second year of faculty.

Overview

 - Introduce the dataset (#1) 
 
 - Count & Classification (#2) 
 
 - Classifying data by attributes: manual plotting - a sort of clustering (#3) 
 
 - Automated plotting: random plotting (#4) 
 
 - Liniar regression and a sort of clustering (#5)

Tools

  • Anaconda - Jupyter Notebook as IDE

CSV - Dataset

Dataset's documentation can be found here:

https://archive.ics.uci.edu/ml/datasets/Zoo

Sources for another topics ( Neural Network )

I feel to mention some learning-sources that have been very useful for me, even though they are bind to topics that are not present in this presentation:

Neural Network :

 -- Model implementation, training and understanding :
 
     ---Source: YouTube
     
     ---Channel: NeuralNine
     
     ---Link: 
     https://www.youtube.com/watch?v=t0EzVCvQjGE
     
 -- How to implement model's layers based on neurons and deep understaing of model's layers :
 
     ---Source: YouTube
     
     ---Channel: sentdex
     
     ---Link: 
     https://www.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3