In this Python tutorial, we will implement linear regression from the Bostom dataset for home prices. Scikitlearn data visualization is very popular as with data analysis and data mining. A few standard datasets that scikitlearn 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, Knearest 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.…