In this Python tutorial, we will implement linear regression from the Bostom dataset for home prices. Scikit-learn data visualization is very popular as with data anaysis 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…
Machine Learning Algorithms
Start learning few machine learning algorithms used in R tutorials such as Apriori, Artificial Neural Networks, Decision Trees, K Means Clustering, K-nearest Neighbors (KNN), Linear Regression, Logistic Regression, Naive Bayes Classifier, Random Forests, and Support Vector Machine.
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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…
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Data Science
The Main Reasons Why Your Business Should Consider Investing in Data Science
by John Wingateby John WingateIt has been rightly stated by many that the sexiest and most attractive job of the 21st century is “Data Scientist”. However, have you ever wondered why this job title such a sought after position in today’s market? The short and simple answer is that over the last decade there…
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R Data Analysis
Data Analysis of Concrete Features Using Artificial Neural Network in R
by John Wingateby John WingateThis R tutorial we will analyze data from concrete with eight features describing the components used in the mixture using artificial neural networks. These eight features include cement, slag, ash. water, superplastic, coarseagg, fineagg, age and strength. Since we will be using the concrete data set, you will need to…
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Machine Learning
What Have Supercomputers Accomplished and What Will They Do Next?
by John Wingateby John WingateSupercomputers are the strongest, fastest computers in the world today. These machines fill up entire rooms and process trillions of numbers each day. Their power is unmatched and new versions are released every year. The past accomplishments of the world’s strongest computers can only be matched by their future potential.…