Solving a Portfolio Analysis Problem with LangGraph and Python
Author(s): Can Demir Originally published on Towards AI. In financial markets, analysts often evaluate an investment by looking at multiple perspectives: price trends, technical indicators, financial fundamentals, and sometimes market sentiment. Traditionally, performing such a fundamental analysis is a manual, time-consuming process. …
LlamaIndex vs. LangChain vs. Hugging Face smolagent: A Comprehensive Comparison
Author(s): Can Demir Originally published on Towards AI. Introduction Large Language Models (LLMs) have opened up a new world of possibilities, powering everything from advanced chatbots to autonomous AI agents. However, to unlock their full potential, you often need robust frameworks that …
Traditional Logistic Regression vs. Modern Machine Learning in Credit Scoring: A Practical Overview
Author(s): Can Demir Originally published on Towards AI. Credit scoring has been around for decades, helping lenders decide who’s likely to pay back a loan (and who isn’t). On one side, there’s the tried-and-true logistic regression scorecard approach — simple, transparent, and …
How AI is Transforming Risk Assessment in the Financial Sector
Author(s): Can Demir Originally published on Towards AI. Introduction Risk assessment is the bedrock of finance. Banks, insurers, and investment firms have always had to identify and manage risks — be it credit defaults, market volatility, or operational hiccups. Historically, this meant …