Data Analytics Workouts: Support Vector Machines on Big Five Traits and Politics
Working through a Pluralsight tutorial on Support Vector Machine, I adapted it to one of my usual data sets, Hofstede Cultural Dimension and Big Five state-level personality traits:
Support Vector Machines on Big Five Traits and Politics
Data Analytics Workouts: Charting Correlation Matrices in R
I noticed this very simple, very powerful article by James Marquez, Seven Easy Graphs to Visualize Correlation Matrices in R
, in the Google+ community, R Programming for Data Analysis
, so thought to give it a try, since I started some of my current analyses a decade ago by generating correlation matrices in Excel, which I've sometimes redone and improved in R.
Charting Correlation Matrices in R
Data Analytics Workouts: Data Mining Explorations
Another Pluralsight training course, Data Mining Algorithms in SSAS, Excel, and R
, had one sections on Navie Bayes and on decision trees. I worked through the example, but varied using my own data and code, linked below.
Naive Bayes on Political Outcome Based on State-level Big Five Assessment
Decision Trees (party) on Political Outcome Based on State-level Big Five Assessment
Data Analytics Workouts: Predicting Google's Stock Price
Running through a Pluralsight training course, Understanding and Applying Logistic Regression
, an example was code predicting Google's stick price from SPDR ETF's price changes, although tweaked to my own style...
Logistic Regression on Stock Data using Google and SPY (SPDR S&P 500)
Review: Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)
Text Analysis with R for Students of Literature
by Matthew L. Jockers
My rating: 5 of 5 stars
Engaging writing, with code samples and practices. As for programming, I thought the code quality was somewhat low or sloppy, but Jockers is not a software developer by trade. While reading, I did have a few ideas to solve some text-matching issues across systems, and generally, I found the lack of discipline in the author's approach conducive to flexible thinking about using techniques with R.
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