Learner, Practitioner & Teacher
Exploratory Data Analysis (EDA) is a crucial phase in any data science project, providing insights into the underlying patterns and relationships within your dataset. One powerful tool that can elevate your EDA experience is PyGWalker, a versatile Python library for
Read more
Introduction In the rapidly evolving landscape of artificial intelligence, choosing the right approach for a given task is crucial. Two prominent methodologies, Traditional Machine Learning (ML) and Generative Artificial Intelligence (Generative AI), each have their strengths and weaknesses. In this
Read more
Introduction: In the realm of machine learning and statistics, two fundamental analytical approaches—discriminative and generative—play pivotal roles in shaping models and decision-making processes. In this blog post, we will delve into the characteristics of discriminative and generative approaches, highlighting their
Read more
NEED In the pharmaceutical industry, the demand for deeper insights into treatment effectiveness and patient outcomes has driven a significant interest in causal inference, particularly using real-world data (RWD). Unlike clinical trials, which are often limited by controlled environments and
Read more