Kaggle_competition

Statistics Learning Homework 01

Project: Spline regression on WMAP data

Content description

This repository contains the first homework project of Statistical Learningduring the accademic year 2022/2023 master degree in Data Science in Sapienza University of Rome.

The goal of the project is to estimate an unknown function $f(X)$ in order to predict the response variable $Y$ from independent data $(X_1,Y_1)…,(X_n,Y_n)$ via spline regression model

Authors:

• Paolo Barba
• Matteo Candi
• Costantini Silvia
• Vestini Maria Vitoria

Structure:

This repository contains:

• HW_part1.pdf: The homework explanatiom
• HW_part2.pdf: The homework explanation
• hw1_markdown.Rmd: The Rmd file with comments and results
• hw1_markdown.html: The html file with comments and results reported
• train.csv: The train set we used for the project
• test.csv: The test set without $y$
• preds: folder contains the predictions of various model
• RData: folder contains the best parameter selected