In short: First, use unsupervised learning techniques to det

In short: First, use unsupervised learning techniques to determine Kmeans and hierarchal clustering. Next, use random forest classification to predict cluster number and calculate accuracy. Last, write Kmeans clustering from scratch using Python [No packages can be used for this part]. Compare results. Long version: First, use dataset1 (csv) with unsupervised learning techniques. Use Kmeans to determine the # of clusters. Tabulate the # of clusters from 1 – 40 and total within-cluster variance. Plot the scree plot. Using hierarchal clustering, calculate the pairwise distance. Create various dendrograms using complete and average linkage. Cut dendogram into groups of 5-7. Which is the most appropriate # of groups?Next, do the same exercise above except this time we use random forest classification. Last, using dataset2 (csv), write a function (without using Kmeans related packages) that calculates the withincluster variance, aggregates the data by the cluster number, and plots “total within cluster vs.number of cluster”. Add the cluster number to the last column of dataset, predict the cluster number using logisticregression and calculate the accuracy of your model. Briefly compare results from each method.

Collepals.com Plagiarism Free Papers

Are you looking for custom essay writing service or even dissertation writing services? Just request for our write my paper service, and we'll match you with the best essay writer in your subject! With an exceptional team of professional academic experts in a wide range of subjects, we can guarantee you an unrivaled quality of custom-written papers.

Get ZERO PLAGIARISM, HUMAN WRITTEN ESSAYS

Why Hire Collepals.com writers to do your paper?

Quality- We are experienced and have access to ample research materials.

We write plagiarism Free Content

Confidential- We never share or sell your personal information to third parties.

Support-Chat with us today! We are always waiting to answer all your questions.