[2021] Machine Learning with R: A-Z Course (Version 4.6)
Learn to create Machine Learning Algorithms with R & Excels from popular Data Science experts. Code templates included.
What you’ll learn
-
UNDERSTANDING Analytics definition and application
-
LEARN the concept of programming in R from its core
-
GAIN the understanding to use machine learning techniques to solve the problems of real life
-
ACQUIRE the knowledge to convert business concerns into machine learning problems.
-
COMPREHEND the use of R in data analysis
-
LEARN the usage of R in data science
-
UNDERSTAND data mining, statistics and machine learning
-
LEARN the concept and the difference between supervised and unsupervised learning
-
ACQUIRE the knowledge to import and export data
-
GET the knowledge of different data types and data structures
-
LEARN to handle packages and subsetting data in R
-
ACQUIRE the skill of how to create a loop and if-else statement
-
LEARN the concept of missing values in R
-
COMPREHEND the basics of statistics and Machine Learning
-
UNDERSTAND data manipulation in R using dplyr
-
LEARN aggregate and table commands
-
BECOME proficient in summarizing the data graphically
-
GRASP the concept of regression
-
MASTER the concept of decision tree
-
LEARN about cluster analysis in detail
-
FAMILIARISE with the concept of association rule analysis
Requirements
-
Basic concept of mathematics
-
Eagerness to learn and explore machine learning
-
Computer access
Who this course is for:
- Students
- Executives from any industry
- IT professionals
- Professors from the institutes
- Statistician
- Any who has wants to learn Machine learning
- Anyone who wants a rewarding career as a data scientist