Peter Nistrup

Python tricks 101, what every new programmer should know.

List of the top sources of Data Science contentA non-exhaustive list of my favourite sources of Data…Setting up a Python Data Science environment with WSL and JupyterA Python environment in Linux on…What is .

npy files and why you should use them…Why you should always save your data as .

npy instead…The complete list of books for Quantitative / Algorithmic / Machine Learning tradingLinear Discriminant Analysis (LDA) 101, using RDecision boundaries, separations, classification and…Principal Component Analysis (PCA) 101, using RVisualizing models 101, using RSo you’ve got yourself a model, now what?Model selection 101, using RQuick and dirty markup of simple model selection using R.. More details

Leave a Reply