Writing some basic machine learning algorithms mostly from scratch for better understanding

Using sales per POS data and surroundings of each POS, identifies important attributes in the surroundings. Random Forest, Gradient Boosting and Linear Regression used. It is written in Python.

Practical Data Science (15-688) final project.

This project builds models to predict the activity performed by human using deep learning and machine learning algorithms.

Web application for predicting the winner of the NBA match.

Predicting no show for medical appointments

Analyzed a Google Merchandise Store customer dataset to predict revenue per customer (also known as GStore, where Google swag is sold)

Predicting term deposits using gradient boosting classifier (sklearn package) with a few data visualizations (matplotlib, seaborn etc) for us to better understand the variables that play a factor when it comes to potential customers subscribing to a term deposit

Modeling eligible voter data from the 2018 General Social Survey.

Experimental tree boosted varying coefficient model

Simple GradientBoost

Notebooks explaining various Machine Learning concepts.

Exploring the dataset with workers info, predicting their salaries with Ridge regression and assesing the effect of a single variable (gender, hoho) in particular

Meu 8 miniprojeto em python em que faço o uso de modelos de classificação para predição da sobrevivência ou não no desastre do titanic

Seoul bike sharing demand prediction is a project that uses machine learning to predict the demand for rental bikes in Seoul, South Korea. The project aims to provide insights for the city's bike-sharing system to better manage the supply of bikes and ensure their availability to the public at the right time.

Machine Learning Regression final project for "Statistical Learning for Engineers" IE7300 class

This GitHub repository is a showcase of my skills and projects in the fields of machine learning and data science. It contains a variety of projects that demonstrate my ability to work with machine learning algorithms, data visualization techniques, and data analysis tools.

MidTerm Project MLZoomcamp

Machine Learning project which predicts the revenue of a start-up and helps entrepreneurs take informed decisions.