Day: August 26, 2019

Applied Data Science Coding with Python: Regression with Lasso Algorithm

Regression with Lasso Algorithm Regression with the Lasso algorithm is a method for solving regression problems in machine learning. It is a linear regression model that includes L1 regularization, which is a technique that adds a penalty term to the loss function to reduce the complexity of the model. The Lasso algorithm aims to find …

Applied Data Science Coding with Python: Regression with KNN Algorithm

Applied Data Science Coding with Python: Regression with KNN Algorithm Regression with the K-Nearest Neighbors (KNN) algorithm is a method for solving regression problems in machine learning. It is based on the idea that similar data points tend to have similar target variable values. The KNN algorithm for regression starts by finding the K number …

Applied Data Science Coding with Python: Regression with ElasticNet Algorithm

Applied Data Science Coding with Python: Regression with ElasticNet Algorithm Regression with the ElasticNet algorithm is a method for solving regression problems in machine learning. It is a linear regression model that combines both L1 and L2 regularization. The ElasticNet algorithm starts by defining a linear model with a combination of L1 and L2 regularization. …

Applied Data Science Coding with Python: Regression with CART Algorithm

Applied Data Science Coding with Python: Regression with CART Algorithm Regression with the Classification and Regression Tree (CART) algorithm is a method for solving regression problems in machine learning. It is used to create a decision tree that can be used to make predictions based on the input data. The CART algorithm starts by recursively …