In the previous posts, I used popular machine learning algorithms to fit models to best predict MPG using the cars_19 dataset.  It was discovered that support vector machine produced the lowest RMSE.  In this post I am going to use XGBoost to...

In the previous posts, I used popular machine learning algorithms to fit models to best predict MPG using the cars_19 dataset.  It was discovered that support vector machine produced the lowest RMSE.  In this post I am going to use XGBoost to...

I built robustreg in 2006 and at the time the major stat packages did not have a robust regression available.  Below are graphs of weekly and cumulative downloads from just the RStudio mirror.  I would estimate total downloads at over 150,000. The median_rcpp() function is written in C++ and is multiple ...

In the previous post I fitted a neural network to the cars_19 dataset using the neuralnet package.  In this post I am going to use TensorFlow to fit a deep neural network using the same data.The main difference between the neuralnet package and TensorFlow is TensorFlow uses the adagrad ...

In the previous four posts I have used multiple linear regression, decision trees, random forest, gradient boosting, and support vector machine to predict MPG for 2019 vehicles.   It was determined that svm produced the best model.  In this post I am going to use the neuralnet package to fit a neural ...

In the previous three posts I used multiple linear regression, decision trees, gradient boosting, and support vector machine to predict miles per gallon for 2019 vehicles.  It was determined that svm produced the best model.  In this post, I am going to run TensorFlow through R and fit a multiple linear ...

Continuing on the below post, I am going to use a support vector machine (SVM) to predict combined miles per gallon for all 2019 motor vehicles. Part 1: Using Decision Trees and Random Forest to Predict MPG for 2019 Vehicles Part 2: Using Gradient Boosted Machine to Predict MPG for 2019 Vehicles The raw data ...

Continuing on the below post, I am going to use a support vector machine (SVM) to predict combined miles per gallon for all 2019 motor vehicles. Part 1: Using Decision Trees and Random Forest to Predict MPG for 2019 Vehicles Part 2: Using Gradient Boosted Machine to Predict MPG for 2019 Vehicles The raw data ...

Continuing on the below post, I am going to use a gradient boosted machine model to predict combined miles per gallon for all 2019 motor vehicles. Part 1: Using Decision Trees and Random Forest to Predict MPG for 2019 Vehicles The raw data is located on the EPA government siteThe variables/features I ...

Continuing on the below post, I am going to use a gradient boosted machine model to predict combined miles per gallon for all 2019 motor vehicles. Part 1: Using Decision Trees and Random Forest to Predict MPG for 2019 Vehicles The raw data is located on the EPA government siteThe variables/features I ...

I am going to use regression, decision trees, and the random forest algorithm to predict combined miles per gallon for all 2019 motor vehicles.  The raw data is located on the EPA government siteAfter preliminary diagnostics, exploration and cleaning I am going to start with a multiple linear regression model.The ...

An interesting and classic probability question is the birthday problem.The birthday problem asks how many individuals are required to be in one location so there is a probability of 50% that at least two individuals in the group have the same birthday...

k-means clustering is a useful unsupervised learning data mining tool for assigning n observations into k groups which allows a practitioner to segment a dataset. I play in a fantasy baseball league and using five offensive variables (R, AVG, HR, RBI, SB) I am going to use k-means clustering to: 1) ...