Day: May 2, 2020

Machine Learning and Data Science in Python using Random Forest Algorithm with Ames Housing Dataset | Pandas | Scikit-Learn

    Random Forest is a popular machine learning algorithm that is widely used in data science for both classification and regression problems. It is a type of ensemble learning method, which means that it combines multiple decision trees to create a more powerful model. The goal of using Random Forest algorithm is to improve …

Machine Learning and Data Science in Python using Decision Tree with Ames Housing Dataset tutorials | Pandas | Scikit-Learn

  Decision trees are a popular machine learning algorithm that can be used for both classification and regression problems. They are widely used in data science and are particularly useful for tasks where the goal is to understand the relationships between different variables in a dataset. Decision trees are also easy to interpret and can …