Multivariate Modeling - UPC Using PLS2 to classify handwritten numbers from the US Post Office.

Multivariate Modeling - UPC Using IBA to classify handwritten numbers from the US Post Office.

Assignment for UPC MIRI Master Course: Multivariate Modeling Professor: Tomàs Aluja

Multivariate Modeling - UPC Using MVR and PCR to classify handwritten numbers from the US Post Office.

Advanced Statistical Modeling - UPC Basic Analysis of the Batteries dataset using linear model and ANOVA

Selecting Bandwidths with Cross Validation. Assignment for the course of Advanced Statistical Modeling (UPC) by Saul Garcia and Krishna Kalyan

Variance Estimation Assignment for the course of Advanced Statistical Modeling (UPC) Objective: Compare the Variance obtained from Rice and Gasser, Sroka, and Jennen-Steinmetz proposals, with the variances obtained from fitting a Local Polynomial Regression and Non-parametric regression models.

Advanced Statistical Modeling Assignment by: Saul Garcia, Krishna Kalyan

Information Retrieval Course Assignment for the Lab Session 1 by Ekaterina Bastrakova and Saul Garcia

Project for Kernel Based Learning and Multivariate Modeling. Predicting Washington Breast Cancer Dataset

Assignment 1 of the class of Advanced Statistical Modeling at the Universitat Politecnica de Catalunya (UPC).

Assignment 1 for the course of Kernel-Based Learning & Multivariate Modeling Objective: Compute a Kernel Ridge Regression

Case Study for Pre processing Data DMKM 2015-2017

This file holds the R presentation for the Data Scientist Course of Coursera.

This is the Coursera Data Science Project Assessment 2