Qmb3302 Study guides, Class notes & Summaries

The correct number of clusters in Hierarchical clustering can be determined precisely using approaches such as silhouette scores (True or False) - correct answer False In K Means clustering, the analyst does not need to determine the number of clusters (K), these are always derived analytically using the kmeans algorithm. (True or False) - correct answer False One big difference between the unsupervised approaches in this module, and the supervised approaches in prior modules: Unsupervised...

head() returns - the first five sets of the dataframe 5 steps to building a machine learning model - 1. choosing a class of model 2. choose hyperparameters 3. arrange data 4. fit the model 5. predict a silhouette score of 1 is the [best/worst] and -1 is the [best/worst] score - best, worst advantages of linear regression models - easy to implement, interpret, and train can reduce overfitting with cross validation extrapolation beyond particular data set are naive bayes suitable for hig...

The correct number of clusters in Hierarchical clustering can be determined precisely using approaches such as silhouette scores (True or False) - correct answer False In K Means clustering, the analyst does not need to determine the number of clusters (K), these are always derived analytically using the kmeans algorithm. (True or False) - correct answer False One big difference between the unsupervised approaches in this module, and the supervised approaches in prior modules: Unsupervised...

QMB3302 Final UF EXAM SET TEST QUESTIONS AND CORRECT ANSWERS The correct number of clusters in Hierarchical clustering can be determined precisely using approaches such as silhouette scores (True or False) - ANSWER : False In K Means clustering, the analyst does not need to determine the number of clusters (K), these are always derived analytically using the kmeans algorithm. (True or False) - ANSWER : False One big difference between the unsupervised approaches in this module, a...

true or false all operators produce an int output - False Match the following operators with their respective description: 1. Greater Than or Equal to: 2. Less than 3. Not Equal To 4. Greater Than 5. Equal to 6. Less than or Equal to - >= < != > == <= Steve Jobs Wrote some Python code to determine if Apple met its quota for the Apple Newton. What does his code below output. quota = newton = 500000 print("Welcome to Mac")if newton < quota: print("Apple di...

A while loop is most closely related to which other type of function or statement. (choose the best answer) - Answer-for loop Assume you are starting from a completely blank workbook. What is missing from the code below in order to show this chart?Choose the best answer. The answer may not be "complete" in the sense that there could be more missing, but it is not provided as an answer choice. Put another way... only one of these answers progresses this visual along.X = range(1, 10)Y = [i ...

QMB3302 Final UF EXAM SET TEST QUESTIONS AND CORRECT ANSWERS The correct number of clusters in Hierarchical clustering can be determined precisely using approaches such as silhouette scores (True or False) - ANSWER : False In K Means clustering, the analyst does not need to determine the number of clusters (K), these are always derived analytically using the kmeans algorithm. (True or False) - ANSWER : False One big difference between the unsupervised approaches in this module, an...

According to the documentation, a silhouette scores of 1 is _____, and -1 is _____. - the best score; the worst score All the nodes prior to the output nodes essentially 'guess' at the correct weights. The algorithm checks to see if the initial guess is correct (usually not). When it is wrong... - ... it tries again (runs another epoch) An example this week was done in Jupiter like environment called Google Collab. What was the language that was demonstrated in the videos? - TensorFlow ...

features of a model - correct answer represent your inputs problems with hold out method for validation - correct answer model is sensitive to outliers not built on all training data pipelines are useful for the following reasons - correct answer make it easy to change small things in your model (variables to include) help organize code used to clean and treat data make it easy to repeat steps and run multiple models X values are ____________, and y value(s) are something we are try...

According to the documentation, a silhouette score of -1 is - The worst score According to the documentation, a silhouette scores of 1 ia - The best score All the the nodes prior to the output nodes essentially 'guess' at the correct weights. Then the algorithm checks to see if the initial guess is correct (usually not). When it is wrong... - It tries again (runs another epoch) An example this week was done in a Jupiter like environment called Google Collab. What was the language that wa...