Description

R Data Analysis Solutions – Machine Learning Techniques

R Data Analysis Solutions – Machine Learning Techniques
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 12M | 705 MB Genre: eLearning | Language: English
Data analysis has recently emerged as a very important focus for a huge range of organizations and businesses.

R makes detailed data analysis easier, making advanced data exploration and insight accessible to anyone interested in learning it.

This video empowers you by showing you ways to use R to generate professional analysis reports.

How this course will help you

It provides examples for various important analysis and machine-learning tasks that you can try out with associated and readily available data.

You will learn to carry out different tasks on the data to bring it into action.By the end of this course, you will be able to carry out different analyzing techniques, apply classification and regression, and also reduce data.

“R Data Analysis Solutions – Machine Learning Techniques” provides examples for various important analysis and machine-learning tasks that you can try out with associated and readily available data.

You will learn to carry out different tasks on the data to bring it into action.By the end of this course, you will be able to carry out different analyzing techniques, apply classification and regression, and also reduce data

Data analysis has recently emerged as a very important focus for a huge range of organizations and businesses.

How this course will help you

In this course you will learn about tools for data exploration, data visualization,

applying simple statistics, modeling techniques for different tasks including regression analysis, classification and cluster analysis as well as dimensionality

reduction methods using principal component analysis and kernel density estimation.

By the end of this course, you will be able to carry out different analyzing techniques, apply classification and regression, and also reduce data

R Data Analysis Solutions –

Machine Learning Techniques is a comprehensive video that teaches you everything you need to know about using

How this course will help you

R to perform a range of data analysis, exploration and insight.

You’ll learn how to generate professional reports and create statistical models even if you’ve never done it before.

Data analysis is important for any organization with a large amount of data, whether it be in an enterprise setting or otherwise.

If you want to stay ahead of the competition, you need to generate high-quality reports that can provide insight into your company’s performance and strategies.

R is a programming language used to produce reports and analytics through code. In this data analysis course,

you’ll learn all about working with complex data so that you can use it to create professional analysis reports.

Learn how to use R for data analysis in this course.

It begins by teaching you about the importance of R and why you need it as a statistics software.

You will also learn about some basic concepts of R, including packages and data structures.

How this course will help you

The course then goes on to show you how to transform your data with various built-in functions,

which are used for modeling tasks like fitting linear regression models using ‘lm’ package along with other types of models such as logistic regression that models binary dependent variable Y by one or more independent variables.

Furthermore, the video instructs learners what output to expect from different types of models and

how model diagnostics can help detect errors in the model or predict performance of an applied model before being tested on independent data samples.

This course is the follow up to Data Analysis and Visualization with R, which covered some of the very basic processes used in analyzing data using R.

It will pick up where that one left off. The learners who are comfortable working on basic data exploration and analysis tasks can easily use this course to improve their skills and generate more polished reports with visualizations