Development of a machine learning model for predictive financial forecasting
Table Of Contents
<p>1. Introduction<br> 1.1 Background<br> 1.2 Objectives<br>2. Literature Review<br> 2.1 Financial Forecasting<br> 2.2 Machine Learning in Finance<br> 2.3 Predictive Modeling Techniques<br>3. Data Collection and Preprocessing<br> 3.1 Financial Data Sources<br> 3.2 Data Cleaning and Transformation<br>4. Model Development<br> 4.1 Feature Selection<br> 4.2 Algorithm Selection<br> 4.3 Model Training and Evaluation<br>5. Performance Evaluation<br> 5.1 Model Accuracy Metrics<br> 5.2 Risk Assessment<br></p>
Project Abstract
This project aims to develop a machine learning model for predictive financial forecasting to assist in making informed investment decisions and risk management. The project will explore various machine learning algorithms and financial data analysis techniques to build a robust predictive model capable of forecasting financial trends and market fluctuations.
Project Overview
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