In this tutorial, we implement how to use pandas-ta-classic to build a complete technical analysis and trading strategy workflow. We […]
Category: Data Science
How to Build a Single-Cell RNA-seq Analysis Pipeline with Scanpy for PBMC Clustering, Annotation, and Trajectory Discovery
In this tutorial, we perform an advanced single-cell RNA-seq analysis workflow using Scanpy on the PBMC-3k benchmark dataset. We start […]
Why Gradient Descent Zigzags and How Momentum Fixes It
Gradient descent has a fundamental limitation: on most real-world loss surfaces, it is inefficient. When the surface has uneven curvature—steep […]
A Coding Guide to Survey Bias Correction Using Facebook Research Balance with IPW CBPS Ranking and Post Stratification Methods
In this tutorial, we walk through a complete, end-to-end workflow for correcting bias in survey data using the balance library. […]
Meta FAIR Releases NeuralSet: A Python Package for Neuro-AI That Supports fMRI, M/EEG, Spikes, and HuggingFace Embeddings
Researchers at Meta’s FAIR lab have released NeuralSet, a Python framework designed to eliminate one of the most persistent bottlenecks […]
A Coding Implementation on Document Parsing Benchmarking with LlamaIndex ParseBench Using Python, Hugging Face, and Evaluation Metrics
In this tutorial, we explore how to use the ParseBench dataset to evaluate document parsing systems in a structured, practical […]
The LoRA Assumption That Breaks in Production
LoRA is widely used for fine-tuning large models because it’s efficient, but it quietly assumes that all updates to a […]
How to Build Smarter Multilingual Text Wrapping with BudouX Through Parsing, HTML Rendering, Model Introspection, and Toy Training
In this tutorial, we explore how we use BudouX to bring intelligent, phrase-aware line breaking to languages where whitespace is […]
A Coding Tutorial on Datashader on Rendering Massive Datasets with High-Performance Python Visual Analytics
In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting […]
How TabPFN Leverages In-Context Learning to Achieve Superior Accuracy on Tabular Datasets Compared to Random Forest and CatBoost
Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records […]