In this Python tutorial, we will learn to create a intermediate Python calculator for addition, subtraction, multiplication, division and modulus. Within the Python function, one will be able to pass data, which are known as parameters and the function will return the result as data. Import Python Modules The Python modules
In this R tutorial we will analyze data from the Wisconsin breast cancer dataset. The k-NN algorithm will be implemented to analyze the types of cancer for diagnosis. Nearest Neighbor is defined by the characteristics of classifying unlabeled examples by assigning then the class of similar labeled examples (tomato – is
In this Python tutorial, we will analyze the Wisconsin breast cancer dataset for prediction using support vector machine learning algorithm. The Wisconsin breast cancer dataset can be downloaded from our datasets page. Support Vector Machine Algorithm Sometimes, decision trees and other basic algorithmic tools will not work for certain problems. These
In this Python tutorial, we will analyze the Wisconsin breast cancer dataset for prediction using random forest machine learning algorithm. The Wisconsin breast cancer dataset can be downloaded from our datasets page. Random Forest Machine Learning Algorithm Random forests are a decision tool that is used to classify pieces of data
In this Python tutorial, we will analyze the Wisconsin breast cancer dataset for prediction using logistic regression algorithm. This Wisconsin breast cancer dataset can be downloaded from our datasets page. Logistic Regression Machine Learning Algorithm Summary Logistic regression is another way that a machine learning algorithm can make a decision. A
In this Python tutorial, we will analyze the Wisconsin breast cancer dataset for prediction using k-nearest neighbors machine learning algorithm. The Wisconsin breast cancer dataset can be downloaded from our datasets page. K-Nearest Neighbors Algorithm k-Nearest Neighbors is an example of a classification algorithm. These algorithms are either quantitative or qualitative