What Python machine learning actually means before you buy a course
Before you buy, separate scikit-learn reality (tables, train/test, a classifier) from AGI and trading-bot hype.
Academy notes
Articles and updates from SoloQuant Academy.
Tag: machine-learning
Before you buy, separate scikit-learn reality (tables, train/test, a classifier) from AGI and trading-bot hype.
Gu, Kelly & Xiu (2019) bake off ML methods (trees, nets, and more) for the equity cross-section. Plain-language intro. Not investment advice.
Feng et al. add intentional perturbations during training so stock-movement models generalise better under noisy price features—a robustness habit you can borrow for NLP signals too.
XGBoost 3.3.0 adds reg:expectileerror, turns categorical support on by default, raises Python to 3.12+, and deprecates gblinear—upgrade notes for after-work data/ML practice.
What TimesFM-3 is, why multivariate zero-shot forecasting matters, and an after-work Python starting path—with license caveats. Not investment advice.