Compare Machine Learning Algorithms with IRIS Dataset Comparing machine learning algorithms with the IRIS dataset in Python is a common task in machine learning, as it allows to evaluate the performance of different algorithms on a known dataset and choose the best one for a specific problem. The IRIS dataset is a popular dataset for …

# Month: August 2019

Compare Machine Learning Algorithms with Diabetes Dataset Comparing machine learning algorithms with a diabetes dataset in Python is a common task in machine learning, as it allows to evaluate the performance of different algorithms on a known dataset and choose the best one for a specific problem. To compare machine learning algorithms with a diabetes …

Applied Data Science Coding with Python: Regression with Support Vector Machine Algorithm Regression with the Support Vector Machine (SVM) algorithm is a method for solving regression problems in machine learning. It is a type of supervised learning algorithm that can be used for both linear and non-linear regression. The SVM algorithm for regression starts by …

Regression with Ridge Algorithm Regression with the Ridge algorithm is a method for solving regression problems in machine learning. It is a linear regression model that includes L2 regularization, which is a technique that adds a penalty term to the loss function to reduce the complexity of the model. The Ridge algorithm starts by defining …

Applied Data Science Coding with Python: Linear Regression Algorithm Linear Regression is a statistical method for predicting a continuous variable from one or more variables. Linear regression is one of the simplest and most widely used predictive models in machine learning. It assumes that the relationship between the independent variables and the dependent variable is …

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 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 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 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 …

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Applied Data Science Coding with Python: SVM Algorithm The Support Vector Machine (SVM) algorithm is a method for classification and regression in machine learning. It is used to find the best boundary (or hyperplane) that separates different classes in the dataset with the greatest possible margin. The SVM algorithm starts by mapping the input data …