Browsing: analysis

Image by Author   # Introduction  As a data scientist or analyst, you know that understanding your data is the foundation of every successful project. Before you…

Organizations face challenges in quickly detecting and responding to user account security events, such as repeated login attempts from unusual locations. Although security data exists across…

INSTANCE_I = int(np.clip(INSTANCE_I, 0, len(X_test)-1)) x = X_test.iloc[INSTANCE_I].values y_true = float(y_test.iloc[INSTANCE_I]) pred = float(model.predict([x])[0]) iv = explainer.explain(x, budget=int(BUDGET_LOCAL), random_state=0) baseline = float(getattr(iv, “baseline_value”, 0.0)) main_effects =…

The killing of Iranian Supreme Leader Ali Khamenei in a United States-Israeli air campaign has sent shockwaves through the Middle East, decapitating the leadership of the…

Sick of your smart ring’s battery not holding up? Ultrahuman’s new $479 Ring Pro smart ring, unveiled on Friday, offers up to 15 days of battery…

In this tutorial, we implement an end-to-end Practical Byzantine Fault Tolerance (PBFT) simulator using asyncio. We model a realistic distributed network with asynchronous message passing, configurable…

In this tutorial, we build a “Swiss Army Knife” research agent that goes far beyond simple chat interactions and actively solves multi-step research problems end-to-end. We…

Data Analyst is one job title that has quietly dominated LinkedIn headlines, hiring portals, and coffee-table conversations over the past few years. Disagree? Then you are…

In this tutorial, we demonstrate how to move beyond static, code-heavy charts and build a genuinely interactive exploratory data analysis workflow directly using PyGWalker. We start…

Performing research and clinical analytics on vast amounts of clinical data can be difficult. Healthcare data scientists and epidemiologists possess deep domain expertise in patient care,…