Tag Archives: Ames Housing price dataset and Machine Learning

Machine Learning and Data Science in Python using LightGBM with Boston House Price Dataset Tutorials

Hits: 391     LightGBM is another powerful machine learning algorithm that is widely used in data science and machine learning projects. It is an open-source algorithm that is based on the Gradient Boosting framework and is designed to be highly efficient and scalable. Like XGBoost, LightGBM is a boosting algorithm that creates multiple decision …

Machine Learning Regression in Python using XGBoost | Boston Housing Dataset | Data Science Tutorials

Hits: 294      Regression is a type of machine learning task that is used to predict a continuous value. It is a commonly used technique in data science and machine learning projects to make predictions about numerical values. Regression algorithms can be used for a wide range of applications such as predicting stock prices, …

Machine Learning and Data Science in Python using Random Forest Algorithm | Boston Housing Dataset

Hits: 218    Random Forest is a type of ensemble learning method, which is used to build a model by combining multiple decision trees. The main idea behind using Random Forest is that multiple decision trees will provide a more accurate and stable prediction than a single decision tree. The Boston Housing Price dataset from …

Data Science and Machine Learning in Python using Decision Tree with Boston Housing Price Dataset

Hits: 178      Decision trees are a popular machine learning algorithm that can be used for both classification and regression tasks. They work by creating a tree-like structure where each internal node represents a feature and each leaf node represents a prediction. The algorithm starts at the root of the tree and makes a …