Day: May 4, 2020

Machine Learning Classification in Python using Decision Tree | Data Science Tutorial | IRIS dataset

    Machine learning classification is a type of machine learning that is used to predict a categorical value. In this case, we are going to use a decision tree algorithm to classify the Iris dataset from UCI into different species of Iris. The Iris dataset from UCI is a dataset that contains 150 observations …

Machine Learning Regression in Python using Keras and Tensorflow | Boston House Price Dataset | Data Science Tutorials

    Machine learning regression is a type of machine learning that is used to predict a continuous value. In this case, we are going to use a deep learning approach using Keras and Tensorflow to predict the median value of a house in Boston using the Boston House Price dataset from UCI. Keras is …

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

    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 trees to …

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

      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, sales, …