Project-Objective: This project aims to analyze user sentiments in Reddit comments on an R-related post to determine how positive and negative sentiments correlate with mentions of R and Python. By applying sentiment analysis techniques and leveraging machine learning models—k-Nearest Neighbors (kNN) and Naive Bayes—this project seeks to classify the overall sentiment of the community and identify trends related to each programming language. The project includes data collection, preprocessing, exploratory analysis, and model comparison, providing insights into user preferences in a structured and data-driven manner.

Analytic reports for longitudinal assortative mating paper using the Transition to Parenthood dataset.

Analytic reports for longitudinal assortative mating paper using the Early Dating dataset.

El conjunto de datos constituye una muestra bivariada que tiene variables predictora el ancho máximo de una hoja de mango y respuesta el valor de la longitud de la hoja en centímetros.