Explain the machine learning problems in the context

Assignment Help Other Subject

Reference no: EM133948381

Machine Learning Applications

Learning Objective 1: Explore programming functions to source, store and prepare data for machine learning applications.

Learning Objective 2: Evaluate the application of machine learning in the context of organisational data.

Learning Objective 3: Create advanced insights of strategic organisational value with the aid of machine learning.

Assessment - Exploratory Data Analysis Presentation

Task

In groups of 3-4 class members, you are to perform several data analysis and visualization tasks in class (week 4).

Assessment Description

Becoming a machine learning guru not only requires good grasp over the statistical concepts. It also requires the ability to explain the machine learning problem(s) in the context of the organisational goals. Performing exploratory data analysis is used to gain deeper understanding of the data. With which we can then formulate the machine learning problem and create insights to solve the problem.

As a machine learning guru your team lead has asked you to give a presentation on the insights of the data.

Data

A list of data sets will be provided by your lecturer at the commencement of the test. Each data set comprises of the following:
Data file: A .csv file containing the data. Get expert-level assignment help in any subject.
Information file: A .txt file containing a brief description about the data.

Tasks

Part A: Coding - Exploratory Data Analysis

As a group, you are required to download the list of data sets from MyKBS. Select any one data set you want to work with from the list of data sets. Once settled with the data set of your liking, address the following:

Analysis Problem: Create a potential use case for the data set selected. Think of this as what you want to understand from this data. And then create 4-5 different sub questions to build your understanding about the use case.
Loading Data: Load and summarise the data set using Python.

Feature Engineering: Perform necessary preliminary checks on the data keeping your use case in mind. For example: impute the missing values, create new feature columns, and more.
Exploratory Analysis: Create different visualisations for each of the sub questions to gain insights about the data.

Part B: Group Presentation
Build Power Point Presentation: Summarise all your findings and compose the findings how it addresses your use case in a power point presentation. Justify your answers with reference to the data analysis you have performed above. Tips: Explain your data, design of your new feature engineering steps, reflect on your visualisations in the slide deck.

Give Presentation: Each student contextualises the presentation to a non-technical audience in a business context. Each group will get 7 minutes to present their findings. Stick to the time limit otherwise you will be penalised for overtime.

Reference no: EM133948381

Questions Cloud

What will be you immediate action considering : What will be you immediate action considering that some of your customers are trying to shift to other brands which duplicates their strategy.

What does responsive web design mean : What three elements need to be balanced in any project? What does responsive web design mean? What is the purpose of making a site 'retina-ready?

What is your plan to mitigate the concerns : Identify stakeholder concerns Navigate relationships to strategize buy-in. What is your plan to mitigate the concerns?

What is the most likely diagnosis : Her only living child was born 2 years ago via Cesarean section. Based on this information, what is the most likely diagnosis?

Explain the machine learning problems in the context : Perform necessary preliminary checks on the data keeping your use case in mind. For example: impute the missing values, create new feature columns, and more

What is the most likely diagnosis at this time : Your patient is 8 weeks pregnant and present with bleeding and cramping. On examination you note soft closed cervix. What is most likely diagnosis at this time?

Tesla marketing strategy : How did Tesla Motors enter in China? What was there marketing strategy? What was there targeted segment? How did they target their market?

Goods faces in implementing omni channel approach : In general, what challenges do you think a manufacturer of consumer goods faces in implementing an Omni channel approach?

Which part of body is at greatest risk of radiation exposure : Which parts of the body is at greatest risk of radiation exposure for personnel within with 6 feet range of radiation?

User Account

All Pages