Flink ML
Bank Transaction Fraud Detection 01 The objective of this problem is to analyze transaction patterns and develop predictive models that can accurately classify transactions as fraudulent or legitimate. This task involves exploring feature correlations, detecting unusual transaction behavior, and leveraging machine learning algorithms to create a scalable and efficient fraud detection system. | Tesla Stock Price Prediction The primary objective of this analysis was to predict Tesla’s stock closing prices based on historical data. Using machine learning techniques, the goal was to evaluate the model’s performance and make accurate predictions while identifying key drivers of stock price movements. |