TweetShareSharePin0 SharesArtificial Intelligence and Machine Learning-DATA4800 Assessment DescriptionThis assessment seeks to simulate a real-world task that you may have to undertake in the future. Therefore, the assignment is non-prescriptive and requires you to pose a relevant, small, creative and significant problem to solve that could result in benefits to the organisation of choice.In this assessment,…
SUPERMARKET SALES FORECAST (REGRESSION PROBLEM)
TweetShareSharePin0 SharesSUPERMARKET SALES FORECAST (REGRESSION PROBLEM) Objectives In this assignment we will wrangle the data from a real-life dataset to understand different data wrangling techniques. To conduct data exploration, preparation and transformation through different methods To prepare the data ready for modeling, build and evaluate a simple linear regression model. To document the analysis, comparison…
R script -301114 -Nature of Data
TweetShareSharePin0 SharesR script -301114 -Nature of Data Question 1 Our goal is to examine if the sample is representative of the population and if the allocation of medication and placebo is random. 1. Compute two frequency tables: i. 1 × 3 table of frequencies containing the number of participants in each suburb ii. 2…
BUS5DWR – Assignment 3
TweetShareSharePin0 SharesBUS5DWR – Assignment 3 The purpose of this assignment is to develop and assess your skills in R programming including summarising, wrangling, and plotting data. Using the tidyverse package is recommended but not compulsory. Please read through the entire assignment and understand the submission format and marking rubrics before starting. Part 1 [22…
Business Intelligence from Web Data Analytics and Data Mining
TweetShareSharePin0 SharesBusiness Intelligence from Web Data Analytics and Data Mining Educational Objectives The purpose of the final exam is to apply the theoretical concepts and technical skills that students learn in class to a real-world data set, and develop analytical and critical skills in the context of data mining. You are to work on…
Social Media Analytics for Business
TweetShareSharePin0 SharesCIS7029 Social Media Analytics for Business Learning Outcomes This assessment is designed to demonstrate a student’s completion of the following Learning Outcomes: 1. Demonstrate an understanding of concepts underlying social media analytics and be able to apply them appropriately in business settings (Presentation & Written Paper); 2. Critically evaluate and implement specialist technologies…