Using HR Analytics dataset, I trained the classifier model using ensemble methods to predict the chances of an employee getting promoted. With the Airbnb dataset, I trained the regressor model using ensemble methods to predict the prices of Airbnbs at different neighbourhoods. Both models managed to achieve a model accuracy of above 85%.
Python
Machine Learning
Neural Networks
Algorithms