![]() ![]() We will need to apply scaling to the test set that we computed for the training set. We can see that the numerical values do not have the same scale. %matplotlib inline import pandas as pd import matplotlib.pyplot as plt fruits = pd.read_table('fruit_data_with_colors.txt') fruits.head() Let’s have a look the first a few rows of the data. And then the professors at University of Michigan formatted the fruits data slightly and it can be downloaded from here. He bought a few dozen oranges, lemons and apples of different varieties, and recorded their measurements in a table. Iain Murray from University of Edinburgh. ![]() The purpose of this post is to identify the machine learning algorithm that is best-suited for the problem at hand thus, we want to compare different algorithms, selecting the best-performing one. Using a simple dataset for the task of training a classifier to distinguish between different types of fruits. In this post, we’ll implement several machine learning algorithms in Python using Scikit-learn, the most popular machine learning tool for Python.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
June 2023
Categories |