Integration of Project Plan Tools and TechniquesThere are many different tools and plans that can be used when managing a project. These tools focus on scope and needs of the project, communication, risk, schedule, quality, human resources, procurement, and cost.How should each of the project components be integrated?Which of these tools are you most familiar with? Explain how you are familiar with it. What are the advantages and disadvantages?Take a few moments and identify at least three ideas, tools, or techniques that you have learned from this discussion and plan to use as a project manager in the future. What will be most helpful to you? Why?Discussion and Response GuidelinesRegarding discussions in this course, you are encouraged to initially post early in the unit for each discussion, to allow time for peers to respond. The expectation within the course discussions is to respond to at least two posts by the end of the unit, but it is highly recommended that you extend the dialog further. Responding over multiple days will help stimulate a lively discussion.

Using the STRIDE model write a three-page article uncovering the threats with the web architecture and cloud services specifically. We will use the same diagram from the residency. In this assignment you are just addressing the threats with web and cloud design. After you have uncovered the threats you will provide mitigations and controls to address the issues you uncovered. Also make sure you properly format your paper using APA and be sure to provide original work.

Part A on Decision Trees:Please work on the same Example " identifying risky bank loans using C5.0 decision trees" (See Ch. 5 of Machine Learning with R - Second Edition, in pp. 136-149), using the same dataset which can be found at UCI Machine Learning Data Repository (http://archive.ics.uci.edu/ml) by Hans Hofmann of the University of Hamburg. The dataset contains information on loans obtained from a credit agency in Germany.Follow the same five steps to get the same results as in the text.Give a good summary and conclusion of your findings with insight.Part B on the Decision Rules:Please work on the Example – identifying poisonous mushrooms with rule learners, in pp. 160-168 in Ch. 5. Utilize the Mushroom dataset by Jeff Schlimmer of Carnegie Mellon University. The raw dataset is available freely at the UCI Machine Learning Repository (http://archive.ics. uci.edu/ml).Follow the same five steps as in the example to get similar results as in the text.Give a good summary and conclusion of your findings with insight.The project should have cover page, following APA format with at least 1000 words (excluding title page and references page) and references page. Please use subtitles to make your assignment reader friendly.References:Machine Learning with R Second Edition by Brett Lantz (2015). (Ch5 Page 136-149)APA format https://owl.english.purdue.edu/owl/resource/560/01/Note:There is a glitch in one of the statement of Week 3 assignment from page 141.Below statement will not work as C5.0 package now only accepts factor outcome.credit_model <- C5.0(credit_train[-17], credit_train$default)Changed it to below statement which should work. credit_model<-C5.0(credit_train[-17],factor(credit_train$default))