In the csv file of the abalone, we are looking to predict its height by receiving the length of the abalone
Generate continuous random dataset for the problem of X = study hours and Y = grade of students (if you study more, you will get a higher grade)
Exploratory Data Analysis is a very important step before training the model. In this section, we will use some visualizations to understand the relationship of the target variable with other features.
Let’s first plot the distribution of the target variable price. We will use the distplot function from the seaborn library.
This dataset has 13 features for each house. According to data correlation and your analysis, choose 2 features for X, for example:
X = area and age
Y = price