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…

# K Nearest Neighbors

Start learning about the K-Nearest Neighbors algorithm and other machine learning algorithms used in R tutorials such as Apriori, Artificial Neural Networks, Decision Trees, K Means Clustering, Linear Regression, Logistic Regression, Naive Bayes Classifier, Random Forests, and Support Vector Machine.

- Python Machine Learning
## Breast Cancer Dataset Analysis, Visualization and Machine Learning in Python

by John Wingateby John WingateIn this Python tutorial, learn to analyze and visualize the Wisconsin breast cancer dataset. This tutorial will analyze how data can be used to predict which type of breast cancer one may have. By analyzing the breast cancer data, we will also implement machine learning in separate posts and how…

Many different aspects of data mining and machine learning seem incredibly complicated. They use variables and mathematical models that appear opaque at first. However, all of these tools have a simple series of goals. They want to make sense of data through either sorting or predictions. Once a newcomer understands…