Note-of-Applied-Statistics-with-R

A statistical decomposition of internet traffic data (in bits) over time. Using RStudio I performed a Simple Trend Model, Multiplicative Classical Decomposition, Additive Classical Decomposition, and an ARIMA model.

Unofficial student solutions for the Applied Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2021-2022).

A survival analysis project on pneumonia using peumon dataset of the KMsurv package.

Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?

In-depth analysis about rminer package for regression. Project from my Applied Statistics and Data Analysis course in CS master degree.

A working library of functions, data, color palettes (etc.) for everyday, and not-so-everyday, R tasks

An entry course in statistics at The University of Oslo. Autumn 2021

Introduction to Data Science and Machine Learning algorithms: SVM, Naive Bayes, Decision Trees, Random Forests

Implementation of some r programs using R studio.

This project covers both Simple Linear Regression and Multiple Linear Regression which are used in prediction airline flight ticket. Moreover, Correlation analysis and Timeseries analysis are performed as well. This project is built as a fulfillment for my masters degree.

Collection of some exercises and code snippets for the course of Applied Statistics [Politecnico di Milano, 2020/2021] by Professor Piercesare Secchi.

Data analysis course taken at EPFL during Spring 2017-18. Assignments consist of data analysis projects done in R.