Multivariate Regression to predict sales of Used Cars

Work from various classes

The dataset contains students last three year exam results combined with other data such as their sex, family size, father and mother job and some of their personal and social life properties. The goal is to train ML models to predict student performance in their last year exams.

Data Analysis Projects

This research is based on previous research related to Optimization of Airbnb Dynamic Pricing. This research analytical purposes was to create a model that was as flexible as possible by determining price at the scale of the smallest possible rental period at daily basis.

To identify young soccer players who posses the potential to become the next Kylian Mbappé. Also, Linear Regression practice.

This is a project where i am learning to use MLFlow tool which is a good alternative to logging process and provides various methods and functionality which are demonstrated in this project.

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

Comparison of OLS, Ridge and elastic net estimators

glmnet for python

The dataset that I am performing this regression analysis on, comes from Kaggle, titled crimes In India. This dataset holds complete information about various aspects of crimes that have taken place in India in a 17 year span, from 2001 to 2018.

my documentation to learn more about machine learning concepts

Using publicly available data for the national factors that impact supply and demand of homes in US, build a data science model to study the effect of these variables on home prices.

Recommender System 2019 Challenge PoliMi

Creating a classifier for bladder cancer using Elastic Net Regression

This repository contents some ML examples

Wine-Ops Official Webpage

an extension of signed sklearn.linear_model.ElasticNet

Analyze Seattle AirBnB homes data.

Code for Recommender Systems challenge 2022/23 in Polimi