COS10022 Introduction to Data Science

Your task is to create a predictive model to match the requirement from the assignment goal. You are expected to start from the beginning of Data Science Lifecycle and goes to the very end stepsto present a complete data science project. Don’t forget to examine the given dataset to make sure the goal is achievablebyprocessing the given attributes.Although the dataset doesn’tcontain missing data,the data was collected in the form that the same type of the wineis gathered together in a bunch. Thus, shuffling the data is essential before partitioning them into training and test sets. After getting the performance of your prediction result, visualisation technique is essential for you to communicate the result with the client in the report.There are 100 marks in this assignment. Your reportmust address the following tasks:1.Observing the given dataset and make a description ofwhat you see and what you discovered.For example, you can talk about whether there aremissing values in the collected data, whether this is a balanced dataset, how many usable attributes are there in the collected data, etc. .Make the decision on which model you are going to use and give the reason. Describe what input/output will be for your model.Forexample, you can talk about the input/outputdimension. Describe the components inside your model. For example, if it is a neural network model, you can talk about the layers, the number of neurons, the connection types, etc3.Describe what treatments you have made to the dataset. For example, reveal whetheryou do any transfer/mapping, shuffling, cleaning, and how the training/test set is partitioned.4.Describe the training process or how the model is built intoa completed form. If your model requiresthe training process,reveal the outcomeobtained inthe training process. Reveal the test results with proper benchmarks5.Use visualisation elements (figures) to attract the reader’s eye with sufficient informationto enhancecommunication with the reader.6.A comprehensiveand well-writtenreport.