Python training course - exercise 2
2018/05/27 Ishibashi
link to Python training course in hiki (only lab network.)
Exercise 2
In exercise 2, we will additionally use scikit-learn.
Through this exercise, you can be able to handle image data using Python, how to use Python machine learning libraries and how to conduct simple accuracy assessment.
A learner is expected to finish "Learn the Basics" & "Data Science Tutorials" and exercise 1 before starting this exercise.
Exercise 2: Machine learning and validation.
we will use MNIST dataset. please search, if you do not know what it is.
- Exercise 2.1: import MINIST dataset into Python using scikit-learn library.
- Exercise 2.2: see the data number and pixel size of imported data.
- Exercise 2.3: save one or two imported image in Python into your PC.
- Exercise 2.4: conduct machine learning with scikit-learn. (You can
decrease the number of training data, if the running time is too long.)
- Exercise 2.5: calculate overall accuracy.
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