The statistics project gives you a chance to apply many of the statistical methods learned in this course to a problem that interests you. This project will also familiarize you […]
Data and sampling
Analyzing Data
Complete the following exercises from the Process Modelling Workbook available from Blackboard under Assignment Two: Workflow Modelling with DFDs section. These exercises aim to further develop your familiarity with the […]
Methodology and Data Collection
Select a problem as an aspiring school administrator. Translate it into a statement and write questions to guide the research. Use professional peer-review literature for relevant information and research studies […]
Difference between Supervised and Unsupervised data mining
What is the difference between Supervised and Unsupervised data mining? Prediction problems where the variables have numeric values are most accurately defined as __. Which broad area of data mining […]
The value of applying data analytics
A. Value: Determine the value of applying data analytics to this company or business based on your analysis of the value of the initiative you proposed? In other words, describe […]
Personal data
Kindly fill in the following information:Gender:-male – femaleAge: from 20-30 – from 30-40-from 40-50 – 50 or moreType of the job:-Administrative – doctor-technician – employeeQualification:-Diploma – Bachelor-Master – DoctorateExperience in […]
Data Collection: Design Activity
This activity will help you to …• Consider factors that affect the validity of questionnaire data• Identify and improve poor questionnaire designAsk a silly question …Professor Corbin put together a […]
Data Analysis
Your line manager is happy with your performance and because you have familiarity withthe Bangles data she has asked you to lead the next stage of the project. Bangles invested […]
Data Analysis
Results section Plan: Objectives: • In the beginning I will start by organizing and choosing which data file matches the chosen control strategy to convert it to SPSS and try […]
Numeric data set
Find any kind of numeric data set, apply multiple regression using sklearn library and its dependencies. Find any kind of numeric data set, apply multiple regression using sklearn library and […]