In this Python tutorial, learn to create plots from the sklearn digits dataset. Scikit-learn data visualization is very popular as with data analysis and data mining. A few standard datasets that scikit-learn comes with are digits and iris datasets for classification and the Boston, MA house prices dataset for regression.…
K Nearest Neighbors Algorithm
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, learn to 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…
In this Python tutorial, we will be analyzing diabetes prediction using k-Nearest Neighbors algorithm. This dataset can be downloaded from the UCI Machine Learning Repository. If you’re not familiar with the diabetes dataset, spend some time analyzing the data with a step-by-step guide on the Diabetes Dataset Analysis tutorial. …