aieconlab

• Causal Machine Learning and Predictive Models: We explore the intersection of machine learning and econometrics, using causal techniques to gain insights from economic data. Our work includes developing advanced predictive models, like LSTM networks and sophisticated text analysis methods, to forecast economic trends and understand social phenomena.
• Prompt Engineering with Python: We focus on the crucial role of prompt engineering to optimize AI models. Using Python, we develop and refine prompts to enhance the performance and accuracy of our machine learning analyses.
• ChatBot Development for Economic and Financial Applications: We lead in using chatbots for data science in economics and finance. Our chatbots facilitate data analysis, provide economic insights, and support financial decision-making, making complex data accessible and actionable. They are also integral to our teaching, highlighting their utility in data preprocessing and model interpretation.