Click here for all blog posts pertaining to R.

Pie Charts |

**R Topics:**

Twitter/Text Mining:

For text analysis, check out the series in Python, here.

1. Visualizing Twitter Tokens- Hashtags, Smileys and URLs

2. Text Mining: 1. Retrieving Text from Twitter in R Using the twitteR Package *Updated 2014/3/20*

3. Text Mining: 2. Converting Tweet Text List into a Document Corpus with Transformations

4. Text Mining: 3. Stemming Text and Building a Term Document Matrix

5. Text Mining: 4. Performing Term Associations and Creating Word Clouds

6. Text Mining: 5. Hierarchical Clustering for Frequent Terms

7. Sochi #Olympics and #Crimea Tweets in R (and Justin Bieber?!)

8. Text Mining: 6. K-Medoids Clustering of #Ukraine Tweets in R

9. Text Mining: 7. Term Network Analysis Using #Ukraine Tweets in R

10. Text Mining: 8. #Ukraine Tweet Network Analysis in R

11. #PublicHealth on Twitter in R

.

Time Series Analysis:

1. Time Series: 1. Decomposition into Components-Additive Model

2. Time Series: 2. Forecasting Using Auto-Regressive Integrated Moving Averages (ARIMA)

3. World Wheat Production and Harvest Area, Part I

4. World Wheat Production Part II, Linear Filtering and Regression Forecasting

5. Up, Up, And Away: Amazon Stock Prices

6. How Fast is Fast? Comparing U.S. and South Korea Broadband Speeds

7. Visualizing Google Flu Trends in R

8. Visualizing Google Flu Trends Part 2

9. Ukraine Crisis and Palladium Prices

10. Visualizing CDC's Morbidity and Mortality Weekly Report (MMWR) on Infrequently Reported Diseases

.

Classification Analysis:

1. Decision Trees and Recursive Partitioning

2. Cluster Analysis: Using K-Means

3. Cluster Analysis: Choosing Optimal Cluster Number for K-Means Analysis

4. Cluster Analysis: Hierarchical Modeling

5. Creating Random Forests

6. Classifying Handwritten Digits (MNIST) using Random Forests

.

Regression Analysis:

1. Regression: Quantitative Structure-Activity Relationship (QSAR) Modeling

2. Robust Regression and Estimation of Model Performance

3. Partial Least Squares Regression, RMSEP, and Components

4. R: Comparing Multiple and Neural Network Regression

5. KDD Cup: Profit Optimization in R Part 1: Exploring Data

6. KDD Cup: Profit Optimization in R Part 2: Decision Trees

7. KDD Cup: Profit Optimization in R Part 3: Visualizing Results

8. KDD Cup: Profit Optimization in R Part 4: Selecting Trees

9. KDD Cup: Profit Optimization in R Part 5: Evaluation

10. Predicting Capital Bikeshare Demand in R: Part 1. Data Exploration

11. Predicting Capital Bikeshare Demand in R: Part 2. Regression

12. Predicting Capital Bikeshare Demand in R: Part 3. Generalized Boosted Model

Predicting Fraudulent Transactions is a series from Luis Torgo's Data Mining with R book:

13. Predicting Fraudulent Transactions in R: Part 1. Transactions

14. Predicting Fraudulent Transactions in R: Part 2. Handling Missing Data

15. Predicting Fraudulent Transactions in R: Part 3. Handling Transaction Outliers

16. Predicting Fraudulent Transactions in R: Part 4. Model Criterion, Precision & Recall

17. Predicting Fraudulent Transactions in R: Part 5. Normalized Distance to Typical Price

.

Neural Networks:

1. R: Neural Network Modeling Part 1

2. Neural Network Prediction of Handwritten Digits (MNIST) in R

3. R: Comparing Multiple and Neural Network Regression

.

Regular Expressions:

1. Using Regular Expressions to Analyze Baltimore Homicides in HTML, Part 1

.

Distributions:

1. R1.1: Probability Distributions - Random Sampling, Combinatorics

2. R1.2: Probability Distributions - Calculations for Statistical Distributions

.

Cryptography:

1. RSA Encryption and Decryption

.

Sports:

1. Why LeBron James Should Leave Miami: A Look At Win Shares

.

Check back for more posts on data analysis! (Homepage)

Wayne

@beyondvalence

Thank you so much for sharing this worth able content with us. The concept taken here will be useful for my future programs and i will surely implement them in my study. Keep blogging article like this.

ReplyDeleteData Science Online Training|

R Programming Online Training|

Hadoop Online Training

Thanks for sharing this amazing information about Digital Marketing, which is helpful for new Digital marketing learner.

ReplyDeleteI am reading your post from the beginning, it was so interesting to read & I feel thanks to you for posting such a good blog, keep updates regularly.

ReplyDeleteHadoop Training in Marathahalli|

Hadoop Training in Bangalore|

Data science training in Marathahalli|

Data science training in Bangalore|

Best R Programming Training in Bangalore offered by myTectra. India's No.1 R Programming Training Institute. Classroom, Online and Corporate training in R Programming

ReplyDeleter programming training

Positive site, where did u come up with the information on this posting?I have read a few of the articles on your website now, and I really like your style. Thanks a million and please keep up the effective work.

ReplyDeleteR Programming Course Fees | R Language training in Chennai

Great efforts put it to find the list of articles which is very useful to know, Definitely will share the same to other forums.big data training in Velachery | Hadoop Training in Chennai | big data Hadoop training and certification in Chennai | Big data course fees

ReplyDeleteLoving this blog.

ReplyDeleteThe Blog is create really awesome. it is really helpful to updating the Content. it should be very interesting and easy to understanding.

ReplyDeleteData Science Training Course In Chennai | Data Science Training Course In Anna Nagar | Data Science Training Course In OMR | Data Science Training Course In Porur | Data Science Training Course In Tambaram | Data Science Training Course In Velachery