(Geo)spatial Statistics with R (Meuse)

This repository contains a comprehensive implementation of gradient descent for linear regression, including visualizations and comparisons with ordinary least squares (OLS) regression. It also includes an additional implementation for multiple linear regression using gradient descent.

Gentle yet comprehensive introduction to regression

Machine Learning algorithms and models

Simple Linear Regression

ML++ and cppyml: efficient implementations of selected ML algorithms, with Python bindings.

Ordinary Least Squares problem, guide, and solver

In the following research, we will analyze the effects of pairs trading (multiple companies across multiple industries) excluding the profitability of such strategies. Rather, we will analyze various risk measures across all different pairings of stocks within their own respective industry across multiple industries.

Trabajos presentados como parte del curso de Reconocimiento de Patrones y Aprendizaje Automatizado, impartido por el profesor Sergio Hernández López durante el semestre 2023-2 en la Facultad de Ciencias, UNAM.

Set of functions to semi-automatically build and test Ordinary Least Squares (OLS) models in R in parallel.

As part of a group project, I developed separate regression models using R to predict the daily number of batteries and robberies in Chicago using four different datasets. I tested interactive and second-order terms and used stepwise feature selection to find the best model with the given data. I tested several potential models using cross-valid…

Compared Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) using R programming with interpretation

Causal Inference Case Studies

Probability and Statistics for Machine Learning

Linear line fitting to data and optimising parameters with Gradient Descent algorithm

PySpark for multiple linear regression on car horsepower using SMOTE for data augmentation.

A project where data science job postings are scraped and an exploratory data analysis is performed.

regression algorithm implementaion from scratch with python (least-squares, regularized LS, L1-regularized LS, robust regression)

An introduction into the world of machine learning with a comprehensive Udemy online course, designed for beginners, to learn Python programming fundamentals and gain valuable insights into the practical applications of machine learning.

Artigo submetido ao COBRAC 2018.