You need to build a model which predict fuel efficiency. Read the data from official Website ML repository Pairplot is must Split the data into train and test Train the model and plot loss with epoch Must keras api I want correct solution For wrong i will dislike
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You need to build a model which predict fuel efficiency. Read the data from official Website ML repository
Pairplot is must
Split the data into train and test
Train the model and plot loss with epoch
Must keras api
I want correct solution
For wrong i will dislike
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Solved in 6 steps with 10 images
- Which of the following does not apply to the waterfall model? a. It is linear. b. It is rigid. c. It is better than the code and fix model. d. It is sequential e. It can easily accommodate changes in customer requirments.Given the below three scenarios, you’re required to create one Test Suite containing 3 Test casesand one separate test case for each scenario, where you should add the suitable test scripts thatcan confirm the success of these scenarios using Robot Framework. Deliverables One folder containing one TestSuite.robot file.Scenario 1: Verify user can search for a movie on the IMDb homepage● Given that the user is on the IMDb homepage "https://www.imdb.com/"● When the user enters a search query "The Shawshank Redemption" (or any other moviename) in the search bar.● And clicks the search button● Then the search results page should display movies related to the search query.● And the first search result should be "The Shawshank Redemption" movie i.e. the namewritten in the search query. Scenario 2: Verify user can access the top-rated movies section● Given that the user is on the IMDb homepage "https://www.imdb.com/".● When the user clicks on the "Top 250 Movies" link in the header.● Then the…course title DECISSION SUPPORT SYSTEM, R PROGRAMMING, (rstudio) PS: kindly solve problem by writing codes and run in rstudio Your goal is to properly classify people who have defaulted based on student status, credit card balance, and income (Default: to fail pay a loan debt). Load data “Default” from ISLR package. Split data to train and test sets. Build your prediction model using logistic regression. Comment on the results Predict your test data using the model you built. Calculate the accuracy using real labels. Create a table to show predicted vs actual values (confusion matrix)
- Using Python, run a linear regression analysis on data you have collected from public domain. https://www.ncdc.noaa.gov/cdo-web/tokenRecommended packages:• scikit-learn• numpy• matplotlib• pandasDeliverables:1. Python code [.py file(s)] Explanation of work Create an original how-to document with step by step instructions you have followed to create your program. Your document should be used as an adequate tutorial for someone to reproduce your work by following the steps/instructions.Finished my HW and need assistance with 1 last question, if someone could help............. Which metric provides an overall measure of how well a classification model is performing, considering both false positives and false negatives? F1 score Recall Precision AccuracyCan you please create an ER diagram model for the Open Kattis System website. For the ER diagram, you need to model the data that would be needed to recreate all of the web pages that are displayed to ordinary contest observers or participants on OpenKattis. You do not need to model any additional data that is revealed only when you set up a contest, or create a new problem. Also can you explain the solution, thanks!!
- I need help understanding this HW question........ Which metric provides an overall measure of how well a classification model is performing, considering both false positives and false negatives? F1 score Recall Precision AccuracyYou are asked to perform a study about the effect of the weather on software developers productivity (if any). The study is for a company called MySoftware who gave you access to all data you need to perform the study. They aim at relocating if they find an effect of the weather on their engineers. Use the “Goal-Question-Metric” (GQM) approach to set up the study. derive objecitves (one objective maybe!), the associated question, and suitable metrics.The scenarios below suggest what forecast method is suitable 3.1 A house evaluator estimates the house market value by comparing it to similar properties sold in thearea. The degree of similarity depends on the attributes considered. With house appraisals, featuressuch as land size, dwelling size, number of bedrooms and bathrooms, and garage space are usuallyconsidered. 3.2 The ministry of health construct consensus forecasts from a group of experts in a structured, iterativemanner for the COVID 19 vaccines. A preliminary round of information gathering from the expertsbefore setting the forecasting tasks was conducted. A facilitator was appointed to implement andmanage the process. 3.3 A company uses top managersto generate aggregate forecasts. Such forecasts are usually developedin a group meeting, where managers contribute information from their respective departments.Having top managers from different functional areas of the company promotes excellent skill andknowledge diversity…
- Can you please create an ER diagram model for the Open Kattis System website. For the ER diagram, you need to model the data that would be needed to recreate all of the web pages that are displayed to ordinary contest observers or participants on OpenKattis. You do not need to model any additional data that is revealed only when you set up a contest, or create a new problem.9. In the UP project, each iteration ends with a stable executable even though is not complete. True/False? 10. The business modeling discipline is tightly integrated with the design definition. True/False? 11. The use case in the use-case model is a statement of what the system must do to respond to a business event. True/False? 12. Activities of the requirements definition are usually spread over several iterations. True/False? 13. The software engineer/analyst can generate several alternatives for a requirements model by eliminating some of the less important requirements. True/False? 14. Detailed requirements and specifications are not required in order for the software engineers to build the software product. True/False?Question 6 1.5 Points Why might the overall prediction accuracy of a classification model be a misleading measure of performance? (choose the best answer) If some outcomes are relatively rare, then a classifier may appear accurate despite that it never predicts those rare outcomes. Sometimes the accuracy metric is simply incorrect. Accuracy is subjective; it does not have a generally accepted definition in machine learning.
