The Effect of Economic News on Gold Prices Analysis

[fspzar123]

Pull Request for ML-Crate 💡

Issue Title: The Effect of Economic News on Gold Prices Analysis

• Info about the related issue (Aim of the project): This project aims to analyze the gold prices based on the news articles in the dataset.
• Name: Filbert Shawn
• Email ID for further communication: fspzar123@gmail.com
• GitHub ID: fspzar123
• Idenitfy yourself: Student/Open-Source Contributor

Closes: #507

Describe the add-ons or changes you've made 📃

• Imported essential libraries for data manipulation and machine learning.
• Conducted Exploratory Data Analysis (EDA) to comprehend the dataset.
• Visualized data to extract meaningful patterns and insights.
• Setup a function to assign Sentiment to an Event
• Assessed feature correlations to understand interdependencies.
• Converted categorical features into numerical formats via feature mapping.
• Split the dataset into training and testing sets and applied scaling techniques.
• Implemented and trained four machine learning models: Random Forest, SVM, Logistic Regression, and Gradient Booster.
• Evaluated the models using classification reports and compared their accuracies to determine the best-performing model.

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to work as expected)

How Has This Been Tested? ⚙️

Among all the models tested, the Gradient Booster achieved the highest accuracy, approximately 100%, making it the best-performing model for predicting gold prices. This demonstrates its effectiveness in handling the dataset and providing reliable predictions.

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my code.
• I have commented on my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @fspzar123 :)

[abhisheks008]

Closing this pull request as it is conflicting with the main branch.