Instructions Download the Scikit Jupyter Notebook file and put it in your Docker container. Use the IPython Notebook to view it. Follow the directions and answer the questions provided in the notebook file. The MNIST dataset(mnist-original.mat) we use in this lab can be downloaded here. Lab Concepts In this lab, you will train/test classification models based on MINIST data, apply basic data visualization and analyze skills, use scikit machine learning libraries, and apply the characteristics of different classification models. Classification Methods Lab Data Models to classify something into predefined categories (usually discrete) Examples Applications: Determine manufacturer of a laptop. Determine a digit (0,.....9) based on hand-written image. Example Models: Naive Bayes SVM KNN Decision Trees Have a question about this lab? Post your questions to the Lab Discussion so that we can answer them for everyone else, too. Before posting, please check the forum to see if your question has already been asked and answered by your instructor or one of your peers. Guidelines & Grading Provide screenshots for your code and results for each question and submit a PDF file that includes all of them. For grading criteria, please review the Assignment Rubric below. C Return to Modules Instructions Download the Scikit Jupyter Notebook file and put it in your Docker container. Use the IPython Notebook to view it. Follow the directions and answer the questions provided in the notebook file. The MNIST dataset(mnist-original.mat) we use in this lab can be downloaded here. Lab Concepts In this lab, you will train/test classification models based on MINIST data, apply basic data visualization and analyze skills, use scikit machine learning libraries, and apply the characteristics of different classification models. Classification Methods Lab Data MNIST: An image dataset containing handwritten digits. 5041 Each image comes with a class label of 0-9. We will use the vectorization of an image as feature of that image. The division of training and testing sets are given in advance. Have a question about this lab? Post your questions to the Lab Discussion so that we can answer them for everyone else, too. Before posting, please check the forum to see if your question has already been asked and answered by your instructor or one of your peers. Guidelines & Grading Provide screenshots for your code and results for each question and submit a PDF file that includes all of them. For grading criteria, please review the Assignment Rubric below. Guidelines & Grading Provide screenshots for your code and results for each question and submit a PDF file that includes all of them. For grading criteria, please review the Assignment Rubric below. C Return to Modules View Rubric CAP4770 Lab3-1 Rubric Criteria Question 1 view longer description Question2 view longer description Ratings 2 to >1 pts Excellent Work Student provides correct results. 1 to >0 pts Needs Improvement Student provides results containing many errors. 2 to >1 pts Excellent Work Student provides correct results. 1 to >0 pts Needs Improvement Student provides results containing many errors. Pts / 2 pts / 2 pts Total Points: 0