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1. code{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Task\n", "\n", "This week’s assignment involves running a k-means cluster analysis. Cluster analysis is an unsupervised machine learning method that partitions the observations in a data set into a smaller set of clusters where each observation belongs to only one cluster. The goal of cluster analysis..

1. code{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Task\n", "\n", "This week’s assignment involves running a lasso regression analysis. Lasso regression analysis is a shrinkage and variable selection method for linear regression models. The goal of lasso regression is to obtain the subset of predictors that minimizes prediction error for a quantitativ..

1. Syntax{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Task\n", "The second assignment deals with Random Forests. Random forests are predictive models that allow for a data driven exploration of many explanatory variables in predicting a response or target variable. Random forests provide importance scores for each explanatory variable and also allow you t..

1. syntax { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Task\n", "This week’s assignment involves decision trees, and more specifically, classification trees. Decision trees are predictive models that allow for a data driven exploration of nonlinear relationships and interactions among many explanatory variables in predicting a response or target variable..