Correlation
Finding patterns in data using machine learning algorithms is one of the most intriguing areas of business analytics. This course will provide you a basic understanding of why machine learning algorithms are so vital, as well as how the models that come from those algorithms are utilized to obtain meaningful insight into business challenges. Some algorithms are used to forecast quantitative outputs, while others are intended to anticipate how an outcome will be classified. For constructing meaningful groupings from a large amount of data, several methods are utilized. You will be able to define when each algorithm should be used after completing this course.
You'll also have the chance to run these algorithms with R and RStudio and discuss the findings with R notebooks. You will study about Regression Algorithm for Testing and Predicting Business Data in Course Orientation and Module 1. Exploratory data analysis (EDA) is an important phase in the business analytic process, but it is a time-consuming method for discovering complicated associations. Furthermore, the visualizations commonly employed for EDA are not well suited to assessing confidence in results or generating predictions.
This course offers:
- Flexible deadlines: Reset deadlines in accordance to your schedule.
- Certificate: Earn a Certificate upon completion
- 100% online
- Beginner Level
- Approx. 1 hours to complete
- Subtitles: English
Course Rating: 4.4/5
Enroll here: https://www.coursera.org/lecture/machine-learning-algorithms-r-business-analytics/correlation-iaclH
