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
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.
In this Python tutorial, we will create plots from the UCI diabetes dataset. There are two diabetes datasets that could be used. One dataset is from the sklearn module and the other is a download from UCI Machine Learning Repository. We will be utilizing the UCI diabetes dataset to implement…
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 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…