question archive Students are advised to review and adhere to the submission requirements documented after the assessment task
Students are advised to review and adhere to the submission requirements documented after the assessment task
Subject:WritingPrice: Bought3
Students are advised to review and adhere to the submission requirements documented after the assessment task. Submissions that are suspected of plagiarism and/or inclusion of AI (CHATGPT, BARD etc…) Generated content will be referred to the college authorities.
Requirements
Part 1
You are required to use the dataset contained within the file “abcnews-date-text.csv” and then perform the following analysis:
• Perform any preparation of the data, that you feel is necessary, using Python in your Jupyter Notebook. Explain your rationale behind your data preparation and how it will assist you.
• Implement Sentiment Analysis on the dataset and display your results graphically.
Part 2
You are required to obtain 5 years’ stock data for “The Walt Disney Company” (This ticker identifier for this company is “DIS”. (https://finance.yahoo.com/quote/DIS/history?period1=1529366400&period2=1687132800&interval=1d&filter=history&frequency=1d&includeAdjustedClose=true )
and then perform the following analysis:
•Perform any preparation of the data, that you feel is necessary, using Python in your Jupyter notebook. Explain your rationale behind your data preparation and how it will assist you.
•Implement Time Series Forecasting on the “Close” feature of the dataset using an LSTM.
•Predict the “Close” values for one month and graphically visualize your predictions against your testing data.
•Try to improve your model, discuss the techniques that you have used and graphically visualize any improvement.
Min Word count 1200 words, Not including references and code. All written work MUST be completed in Jupyter Notebook Markdown .
Note
• All written work MUST be completed in Jupyter Notebook Markdown
• All data wrangling, analysis, and visualizations must be generated using Python.
• All Code must be included in code blocks (As normal). No other upload will be accepted.
• All written work MUST be detailed in your Jupyter Markdown (NOT in code comments).
• Use Harvard Referencing when citing third party material
