In this Python tutorial, learn to implement linear regression from the Boston dataset for home prices. 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…

# Linear Regression

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

- Machine Learning
## Three Algorithms that Benefit the Most from Supercomputers

by John Wingateby John WingateSupercomputers are some of the most valuable and advanced machines on the planet. They can analyze and process billions upon billions of equations in a short period of time. These machines have a wide variety of uses in nearly every sector of academia and the economy. However, they have curiously…

- R Data Analysis
## Medical Care Expense Analysis and Linear Regression in R

by John Wingateby John WingateIn this R tutorial, we will be analyzing and visualizing medical care expenses. For this tutorial, we will be using the lm() package to fit a linear regressional model to data in R. Health insurance companies must make money to stay afloat. In order to do so, it must collect more in yearly…

Algorithms used in the process of machine learning have a number of different functions. They are often used to map data, make sense of large quantities of data, and predict developments over time. There are few algorithms which can conceivably perform all three tasks. One of these is linear regression.…