ITEC203 Introduction to Data Science and Machine Learning

Assignment Help Python Programming

Reference no: EM133009457

ITEC203 Introduction to Data Science and Machine Learning - Australian Catholic University

Assessment Artefact: Python Codes and Comments

Context
Suppose the students take a Data Engineer role in a company. One of their daily duties would be processing huge amount of data for different projects. So this assignment will guide the students how to handle these situations with an example.

Instructions

MNIST number dataset a set of 70,000 small images of digits handwritten by high school students and employees of the US Cen- sus Bureau. Each image is labeled with the digit it represents. This set has been studied so much that it is often called the "hello world" of Machine Learning: whenever people come up with a new classification algorithm they are curious to see how it will perform on MNIST, and anyone who learns Machine Learning tackles this dataset sooner or later.

Instructions to explore this dataset are:
1. Use Jupyter Notebook for interactive practice of Python and related Machine Learning packages.
a. For installing jupyter notebook, could install anaconda first, as Anaconda is the most widely used Python distribution for data science and comes pre-loaded with all the most popular libraries and tools.
b. Create virtual environment for each python project
c. For installing libraries,
d. For creating a Jupyter notebook,
e. Familiarize yourself with cells in jupyter notebook and practice mixing texts and python coding.
2. Always refer to textbook ‘hands-on machine learning with Scikit-Learn, Keras & TensorFlow‘ for coding help.
3. Specific tasks include
a. download dataset
b. explore the dataset and output information include
i. how many images
ii. how many features and the range of feature values (e.g., histogram of the data value)
iii. how many categories/labels (discrete or continuous type)
iv. visualize randomly selected samples within each category (feel the variance of the data)
v. visualize more data samples to see whether there are bad data samples need to be removed.
c. do more data manipulation
i. Explore PCA to reduce feature dimensions down to two dimensions and plot the result using Matplotlib. You can use a scatterplot using 10 different colours to represent each image's target class.
ii. Use t-SNE to reduce the MNIST dataset down to two dimensions and plot the result using Matplotlib with scatterplot.
iii. Summary/conclude your discovery and insights.

Structure
Prepare a jupyter notebook for this assignment. The structure of the Jupyter notebook should alternate texts and python codes and cover topics listed the in specific tasks above.

Attachment:- Data Science and Machine Learning.rar

Reference no: EM133009457

Questions Cloud

What is an important human capital reporting area : What is an important human capital reporting area that is not already on the iso 30414 list that you would recommend adding?

Financial and statistical reports related to budgeting : Create a detailed budget and reports to accurately reflect the requirements and impact on the organisation - accurately complete financial and statistical

Develop picots table for selected articles : Perform the search on Pubmed and Embase with flowchart following Prisma using predefined search words - Develop PICOTS table for selected articles

Describes the construction of your model : Explains and describes the construction of your model. It should contain all the information necessary for the marker to understand what you have clone and why

ITEC203 Introduction to Data Science and Machine Learning : ITEC203 Introduction to Data Science and Machine Learning Assignment Help and Solution, Australian Catholic University - Assessment Writing Service

Examine all the activities in the business process : Examine all the activities in the business process and then decide: (1) which activities will be supported by the information system; (2) which activities

Conduct a bottom-up analysis of the fund of mutual funds : Conduct a Bottom-Up analysis of the Fund of Mutual Funds using the data over the last 90 days. The Bottom-Up analysis will be conducted for the US bonds

Identify the skills and knowledge needed : Identify the skills and knowledge needed for the position - how you will develop the needed skills and education needed for your career position.

Develop a cause and effect diagram : Develop a Cause and Effect diagram (fishbone) for the most occurring complaint. Show possible causes of the major defect in each category.

User Account

All Pages