Repository about the projects in the course of Modeling and control of cyberphysical systems at PoliTo in 2022/2023

In this project, I build 20+ models predicting Spotify song popularity. These include neural networks, Lasso and Ridge regression models. I also leverage OpenAI chat-completion API to engineer features from song lyrics.

Predictive Analytics for Real Estate Investment: A Regression Model Approach for Surprise Housing in the Australian Market using Regularization methods (Ridge and Lasso)

Predicting annual highest of sneakers on StockX

Ejercicio de regresiones por distintos métodos (Mejor Selección de Conjuntos, Selección de pasos hacia adelante, Ridge, LASSO, Elastic Net, Componentes Principales, Mínimos Cuadrados Parciales, etc.)

Using the mtcars dataset, I'm exploring three different types of regression: (1) Lasso; (2) Ridge ; (3) StepLR . I'm providing my recommendations on which one is the most ideal.

Regression models(lasso, ridge, DT) using NumPy.

A Machine Learning exploration evaluating various models to predict Airbnb prices, culminating in an optimized Gradient Boosting Regressor.

The "Car Price Prediction" project focuses on predicting the prices of cars using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Lasso regression, and Linear regression, this project provides a comprehensive solution for accurate price estimation.

This is the solution for prediction of the customers with high probability of churn.

Built a car price prediction from Kaggle dataset solution using Linear Regression and also Lasso Regression

Building Advanced regression models (Lasso and Ridge) for house price prediction in the Australian market

ols_regression, Simple_Linear_Regression,univariate_Polynomial_Regression,Bayesian_Regression

Prime video view time exploration and prediction

Regression techniques

Machine Learning Group Project

Final Group Project for Advanced Data Science for Public Policy @ McCourt

Linear Regression Models on Montesinho Forest Fire

Approach to some basic Machine Learning Techniques.