Tags

• Blogging 1
• Classification 3
• Cross Validation 1
• Data Cleaning 3
• Data Visualization 1
• Decision Trees 2
• EDA 1
• HAR 1
• Jekyll 1
• KNN 1
• Kaggle 3
• Machine Learning 3
• Markdown 1
• Model Selection 1
• Model Tuning 1
• R 6
• RMarkdown 2
• Rmd 2
• Sensor Data 1
• Survey Analysis 1
• Tableau 1
• Tidy Datasets 1
• UCI 1
• caret 2
• dplyr 2
• knitr 2
• rpart 2
• servr 1
• setwd 1
• tidyr 1

Blogging

• April 11, 2016 » My R Markdown Workflow for Blogging
  • tips

Classification

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials
• May 02, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 2: Learning From Data
  • tutorials
• April 25, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 1: Knowing and Preparing The Data
  • tutorials

Cross Validation

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials

Data Cleaning

• May 02, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 2: Learning From Data
  • tutorials
• May 01, 2016 » First 72 Hours Survey Data Analysis and Visualization
  • projects
• August 23, 2015 » Cleaning and Aggregating UCI HAR Sensor Data
  • projects

Data Visualization

• May 01, 2016 » First 72 Hours Survey Data Analysis and Visualization
  • projects

Decision Trees

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials
• May 02, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 2: Learning From Data
  • tutorials

EDA

• April 25, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 1: Knowing and Preparing The Data
  • tutorials

HAR

• August 23, 2015 » Cleaning and Aggregating UCI HAR Sensor Data
  • projects

Jekyll

• April 11, 2016 » My R Markdown Workflow for Blogging
  • tips

KNN

• May 02, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 2: Learning From Data
  • tutorials

Kaggle

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials
• May 02, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 2: Learning From Data
  • tutorials
• April 25, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 1: Knowing and Preparing The Data
  • tutorials

Machine Learning

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials
• May 02, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 2: Learning From Data
  • tutorials
• April 25, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 1: Knowing and Preparing The Data
  • tutorials

Markdown

• April 11, 2016 » My R Markdown Workflow for Blogging
  • tips

Model Selection

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials

Model Tuning

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials

R

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials
• May 02, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 2: Learning From Data
  • tutorials
• May 01, 2016 » First 72 Hours Survey Data Analysis and Visualization
  • projects
• April 25, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 1: Knowing and Preparing The Data
  • tutorials
• April 11, 2016 » My R Markdown Workflow for Blogging
  • tips
• August 23, 2015 » Cleaning and Aggregating UCI HAR Sensor Data
  • projects

RMarkdown

• April 16, 2016 » Setting Working Directory Inside R Markdown (.Rmd) Files
  • tips
• April 11, 2016 » My R Markdown Workflow for Blogging
  • tips

Rmd

• April 16, 2016 » Setting Working Directory Inside R Markdown (.Rmd) Files
  • tips
• April 11, 2016 » My R Markdown Workflow for Blogging
  • tips

Sensor Data

• August 23, 2015 » Cleaning and Aggregating UCI HAR Sensor Data
  • projects

Survey Analysis

• May 01, 2016 » First 72 Hours Survey Data Analysis and Visualization
  • projects

Tableau

• May 01, 2016 » First 72 Hours Survey Data Analysis and Visualization
  • projects

Tidy Datasets

• August 23, 2015 » Cleaning and Aggregating UCI HAR Sensor Data
  • projects

UCI

• August 23, 2015 » Cleaning and Aggregating UCI HAR Sensor Data
  • projects

caret

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials
• May 02, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 2: Learning From Data
  • tutorials

dplyr

• May 01, 2016 » First 72 Hours Survey Data Analysis and Visualization
  • projects
• August 23, 2015 » Cleaning and Aggregating UCI HAR Sensor Data
  • projects

knitr

• April 16, 2016 » Setting Working Directory Inside R Markdown (.Rmd) Files
  • tips
• April 11, 2016 » My R Markdown Workflow for Blogging
  • tips

rpart

• May 09, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 3: Selecting and Tuning The Model
  • tutorials
• May 02, 2016 » Titanic Kaggle Machine Learning Competition With R - Part 2: Learning From Data
  • tutorials

servr

• April 11, 2016 » My R Markdown Workflow for Blogging
  • tips

setwd

• April 16, 2016 » Setting Working Directory Inside R Markdown (.Rmd) Files
  • tips

tidyr

• May 01, 2016 » First 72 Hours Survey Data Analysis and Visualization
  • projects