R for Data Science and Machine Learning

Description

R Ultimate 2023: R for Data Science and Machine Learning, the R training course for data science and machine learning is published by Udemy Academy. We start with the basics of R, such as data types and structures, programming loops and functions, data and output. Then we will go deeper into the data analysis. We will learn how to manipulate data by filtering, aggregating results, changing data, set operations, and joining data sets. We will explore different visualization techniques for presenting complex data. In addition, interactive time series data or interactive spatial data are provided. Advanced data manipulation techniques eg outliers, handling missing data, regular expressions are covered, for each field different algorithms are shown in detail. Their main concepts are presented in session 101. Here you will learn how this algorithm works. Then we implement it together in lab sessions. With this knowledge, you can clearly identify a problem and formulate a plan to solve it. You will get to know the advantages and disadvantages of different models and when to use them. In addition, you will know how to put your knowledge into the real world.

What you will learn

Learn all aspects of R from basics, data science to machine learning and deep learning
You learn the basics of R (data types, structures, variables, etc.)
Learning R programming (writing loops, functions, etc.)
Data input and output
Basic data manipulation (piping, filtering, aggregation of results, data modification, Set operations, connection to datasets)
Data visualization (various packages are taught, for example ggplot, plotly, leaflet, dygraphs)
Advanced data manipulation (outlier data, missing data management, regular expressions)
Regression models (creating and applying regression models)
Model evaluation (what is underfitting and overfitting? Why is data divided into training and testing? What are resampling techniques?)
Regularization (What is regularization? How can you use it?)