This project was done in the 4th semester of Btech data science. Took an online dataset about cars. Understood, cleaned, visualized and prepared our data for building a regression model. Using Recursive feature elimination and Backward selection as a method of feature selection we built a final model. Then tested the assumptions that we made abo…

TDD Junit 5, aserciones, suposiciones, ciclo de vida de los test, pruebas parametrizadas y Hamcrest - ValueSource

Written various types of JUnit test cases using Assertion and Assumption methods.

This data science project focuses on analyzing customer sentiment and booking patterns for British Airways flights. It combines web scraping, Natural Language Processing (NLP), data visualization, and machine learning to extract actionable insights.

Analysis of real estate sales data. Tasks include understanding dataset structure, variable conversion, descriptive analysis, pairwise comparisons, linear relationship analysis, multiple regression modeling, feature selection using stepwise methods, final model summary, assumptions checking, and LASSO variable selection. Results are documented.

Find the assumptions hiding in your code — not just the bugs they cause.