Machine Learning, Investment, AI, Sklearn, Quant.
train a Support Vector Machine (SVM) model, fine-tuning it to achieve optimal performance. Model Evaluation: Evaluating the model’s performance using various metrics will help us understand its predictive power. Model Deployment and Communication: Finally, we will deploy the model and communicate