See attachment.Part 1Be sure to include all of the points: (Please note the inclusion of a site map, diagram or flow chart.) What is your topic? What is the scope? What goals do you have for this site? Intended Audience? What impact will that have on how you develop the site? What unique content (text, images, etc.) will you offer? What content will you get from other sources? How frequently will your content need to be updated? How will your content be organized? What sub-topics will you cover? What pages do you invision having in your website? Please include a site map, diagram or flow chart. Describe the page layout and navigation you're considering. Are you making this site for a business? If so, what special technology may be needed? (SSL, Shopping Cart, etc) Are you making the site for a client (someone other than yourself?) If so, how will you involve them in the development process? Growth Potential: Do you see this as a site that could continue to grow and evolve over time? How much maintenance will be required? What will that involve? Are there things you can do while developing the site that will make it easier to maintain? Do you see this as a site for which you've eventually seek out web hosting and a domain name? Part 2Website Project First DraftThe purpose of this exercise is to get you some feedback from me prior to turning in your final website project. Create a first draft of your final website project. Your draft should meet the following requirements:Your first draft must include all of the pages you plan to have in your final website project. All of your pages must be linked together using the type of navigation you plan to use in your final website project. All of your pages should have the page layout you plan to use in your final website project. Your layout should make use of the CARP principles. Your main page should be called index.html. It should describe or introduce your site. You should have a significant amount of content on at least one other page. Your pages should validate. Links to the HTML and CSS validation results should appear at the bottom of the page.

Context/Background: The central idea is to use ML algorithms to recognize images, both static and dynamic, without specifically providing any guidance to the computer. This task is achieved by training algorithms to recognize various images while also mapping the feature space of those images to a categorical label or name. This task was first successfully achieved in the 1990s when computers were trained to recognize handwritten digits. The trained algorithm was used by postal services to sort mail and efficiently distribute it to the right destination. We will use the same dataset and problem for this case.The dataset is called MNIST (Modified National Institute of Standards and Technology). More information on MNIST can be found here: https://www.kaggle.com/c/digit-recognizer Use the only train.csvThe main objective is to write a fully executed R-Markdown program performing clustering using SOM, LLE, DBSCAN, and Mixture model on the image data containing MNIST (digits) images that are 28 x 28 pixels resolution.Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes.