This course is your complete guide to both supervised & unsupervised learning using R…
That means this course covers all the main aspects of practical data science, and if you take this course, you can do away with taking other courses or buying books on R-based data science.
In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised & supervised learning in R, you can give your company a competitive edge and boost your career to the next level.
This course will give you a robust grounding in the main aspects of machine learning—clustering & classification.
Unlike other R instructors, we dig deep into the machine learning features of R and give you a one-of-a-kind grounding in data science!
You will go all the way from carrying out data reading & cleaning to machine learning to finally implementing powerful machine learning algorithms and evaluating their performance using R.
THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF R MACHINE LEARNING:
- A full introduction to the R Framework for data science
- Data Structures and Reading in R, including CSV, Excel, and HTML data
- How to preprocess and “Clean” data by removing NAs/No data,and visualization
- Machine Learning, Supervised Learning, Unsupervised Learning in R
- Model building and selection… & MUCH MORE!
By the end of the course, you’ll have the keys to the entire R Machine Learning Kingdom!