The following Python packages have been employed: Numpy, Scipy, Pandas, Seaborn, Scikit-learn, TensorFlow.

Feature exploration analysis of the dataset of actual real estate transactions, using pandas, seaborn and matplotlib, followed by an attempt to use Machine Learning to predict real estate prices, based on the features found in the dataset.

The details of the Kaggle competition can be found here