Project 59: Shape Classification

Authors: Julen Etxaniz and Ibon Urbina

Subject: Machine Learning and Neural Networks

Date: 25/10/2020

Objective: The goal of the project is to compare different classification algorithms on the solution of plane and car shape datasets.

Description: This repository contains a project description, a written report describing the solution, a Jupyter Notebook with the implementation and the shape datasets.

Contents of the Notebook:

1.Importing the libraries

2.Reading the datasets

3.Preprocessing the datasets

4.Scaling the data

5.Dividing train and test data

6.Classification

7.Validation

8.Feature Selection

9.Feature Engineering

10.Pipeline Optimization