Team
Vineela Dandu, Sudharshan Venkatesh, Poojan Hirenbhai Shah
Categories
Machine Learning, Python
Overview
The "Financial Market Forecasting Project" aimed to develop effective trading strategies and forecasting models using machine learning techniques. The project focused on enhancing decision-making processes in trading and investment activities by providing insights into market trends and potential price movements.
Key components included the implementation of LSTM models for stock price prediction. The methodology followed a structured approach involving requirement analysis, planning, and execution, utilizing Agile methodologies like Scrum. The deliverables comprised LSTM models and comprehensive documentation detailing methodologies, findings, and recommendations.
HUMBER CCGC Capstone Project - MACHINE LEARNERS
Capstone project video presentation by Humber College students in Cloud Computing. Applying machine learning to recent datasets for predictions, sponsored by OracleLens.
