please answer all the questionss.,.within 30 minutes. make sure the explanation and reasons are explained in very detailed manner as in why the chosen option is right and why other options are wrong. else leave it for other tutor otherwise i will give negative ratings and will also report your answer for unprofessionalism. Make sure the answer is 100% correct and IS NOT COPIED FROM ANYWHERE ELSE YOUR ANSWER WILL DOWNVOTED AND REPORTED STRAIGHTAWAY. USE YOUR OWN LANGUAGE WHILST WRITING.

ATTEMPT THE QUESTION ONLY IF YOU ARE 100% CORRECT AND SURE. ELSE LEAVE IT FOR ANOTHER TUTOR. BUT PLEASE DONT PUT WRONG ANSWER ELSE I WILL REPORT.

Make sure all the options whether correct or incorrect are explained properly. Dont just tell what option is correct and its reasoning clearly show the reasoning why the options are incorrect as well. Otherwise i will report the answer for sure and downvote it.

1. identifya true statement about an unsupervised model. Multiple Choice An unsupervised model provides an answer key the algorithm can use to evaluate its training data accuracy. Unsupervised learning enables the collection of data or a data output from a previous calculation. An unsupervised model has no target variable An unsupervised model includes techniques that require a defined outcome measure. 2. Identify a true statement about AutoML. Multiple Choice AutoMLfacilitates accurate decision making for users with limited coding and modeling experience. AutoML capabilities cannot be easily extended to populations beyond traditional data scientists, particularly in medium- and smaller-sized businesses. AutoML, if implemented precisely, can replace human analytical expertise. AutoML is mainlyan unsupervised approach that employs the traditional, manual approach of standard machine learning. 3. The step of creating ensemble models in the AutoML process allows us to Multiple Choice extract insight from data. handle missing data, outliers, variable selection, data transformation, and data standardization to maintain a common format. reduce the generalization error of the prediction. provide an understanding of invisible relationships and patterns. 4. Which of the four key steps in the AutoML process involves handling missing data, outliers, variable selection, data standardization, and data transformation to maintain a common format? Multiple Choice creating ensemble models recommending models preparing data building models