Module 6_Assignment_StevieW

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Kennesaw State University *

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Industrial Engineering

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May 2, 2024

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docx

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Assignment (100 Points) IT6933 Machine Learning Technology in FinTech Module 08: HPCC Assignment 6 Part 1: Predictive Analysis using Regression on AFRM Stock Prices Objective: In this assignment, you will delve into the world of stock price prediction. Using the daily closing prices from the AFRM.csv dataset, your task is to apply regression techniques to forecast future stock prices, demonstrating your mastery in predictive modeling. Dataset: You will be working with the AFRM.csv dataset, which contains daily closing prices for the AFRM stock. Tasks: Data Preparation: ● Load the AFRM.csv dataset and familiarize yourself with its structure. ● Ensure that the dataset is cleaned and preprocessed, addressing any missing data points or outliers.
● Identify and extract the relevant features, such as date and closing price, for your regression analysis. Regression Analysis: ● Choose an appropriate regression model (linear, polynomial, etc.) based on the nature and distribution of the closing prices. ● Split the dataset into training and testing sets to validate the performance of your model. ● Train your regression model on the training set and validate its accuracy on the testing set.
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