Data Science
53 articles in this category (Page 1 of 3)
Portfolio Optimization with skfolio: A Scikit-Learn Compatible Approach to Modern Investment Strategies
Optimize investment portfolios using skfolio, a scikit-learn compatible library for building, testing, and tuning strategies. This technical guide demonstrates how to implement mean-variance, risk-parity, and hierarchical clustering methods while utilizing robust covariance estimators and Black-Litterman views to achieve higher Sharpe ratios through systematic hyperparameter tuning.
Building a Single-Cell RNA-seq Analysis Pipeline with Scanpy: From PBMC Clustering to Trajectory Discovery
Learn to build a complete single-cell RNA-seq pipeline using Scanpy for PBMC analysis, covering quality control, doublet detection with Scrublet, and lineage trajectory discovery on benchmark datasets.
Production-Grade Graph Analytics with NetworKit 11.2.1: A Tutorial for Large-Scale Networks
Learn to implement a production-grade graph analytics pipeline using NetworKit 11.2.1, processing up to 250,000 nodes with optimized community detection, core decomposition, and local similarity sparsification.