Miguel Trejo Marrufo

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An open source, low-code machine learning library in Python

Feature engineering package with sklearn like functionality

Feature Store for Machine Learning

Numerical Optimization Algorithm to solve an objective function subject to restrictions.

Study the Schrödinger equation in Lp spaces, viewed as a PDE, and develop the operator theory of the Schrödinger Operators in Hilbert Spaces.

Models, Outlier Treatment, Interpolation and Statistical Tests for Forecasting

Apply Conjugate Gradient along with the Dogleg method to find the minimum of a function. We test it with the Rosenbreck, Shekel, Convile and others,

Always know what to expect from your data.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.

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A python library for easy manipulation and forecasting of time series.

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Data incremental load wiht MySQL, GCP and Pandas

Sentiment Analysis of banned Tweets from Russian in 2018

Quasi Newton Algorithm to find the minimum of a function. We test it with Tridia, Freurooth and Dixmaanjl functions.

Survival estimation to Diabetic Retinophaty using parametric and non-parametric estimations.