Gehaltsvorhersage mit Linearer Regression in R

In this two-hour project, you will delve into the fundamentals of creating a linear regression model in R to solve a basic regression problem. The focus will be on the end-to-end machine learning pipeline, covering aspects from importing the dataset to visualizing the model's results. The course will equip you with the skills to import a dataset, split it into training and test sets, train an independent model to predict a target variable based on another variable, and visualize the prediction results.

• Import and split a dataset into training and test sets
• Train an independent model to predict a target variable based on another variable
• Visualize the results of the prediction

By the end of the project, you will have created, trained, tested, and visualized a regression model capable of predicting the salaries of data scientists based on their years of experience. It is recommended that participants have a basic understanding of R programming (variable assignments, RStudio, function calls) to successfully complete this project.