Within this research project I will implement a simple AutoML algorithm for regression tasks using Python. It will be developed for the purpose of automated selection of the best machine learning technique and configuration the best hyperparameters for a particular regression data set. This simple AutoML system will implement hill climbing search algorithm and will use the following three regression algorithms: • RandomForestRegressor • DecisionTreeRegressor • LinearRegression Furthermore, I will compare the results of my own AutoML system to other state of the art approaches such as: • auto-sklearn • TPOT