This is a benchmark between map,lapply, foreach, and for in R.

This is the Rmarkdown version of my blog.

A Data driven analysis on how to find a job

Benchmark mark on select, filter command on base, dplyr package and data.table package. Plus, for and foreach benchmark at the end.

Data cleaning for Ames House Price

This script is for exploratory data analysis and data cleaning of the dataset.

Sberbank data visualization

Trying to replicate visualization https://rud.is/b/2017/04/21/shuttering-pies-with-retiring-stores/

Data from Bureau of transportation statistics https://www.bts.gov/

I have performed exploratory data analysis on the Titanic data and cleaned the data for future machine learning spot check. I have also done used random forest and support vector machine with linear kernels on the cleaned data for a baseline in prediction.

Predict concrete strength with a simple neural network with data from UCI machine learning repository.

Use Naive Bayes classifier on the SMS data from UCI machine learning repository to predict whether an SMS message is spam or not with a prediction accuracy of 91.83%.

Exploratory data analysis on Yelp challenge data to guide travel planning and where to open a business.

association rule learning on supermarket data

it took some time to do get a SVM. It is really slow.

Trying neuralnet package on concrete data. Result is amazing.

machine learning with R initial notes

naive bayes classification on sms message