Dive into the world of Simple Linear Regression using Scikit-Learn and Python to predict the median value of owner-occupied homes in the Boston housing dataset. Explore the dataset and its features, perform Exploratory Data Analysis (EDA), transform variables to prevent underfitting, implement Simple Linear Regression, and analyze the predictions. Understand the impact of various factors on housing prices, and learn how to create a powerful prediction model using Python and Scikit-Learn.