Python, Machine Learning, Statistics, Data Science, Technology.
or car based on some input features. so our main assumption is there is little or no multicollinearity between the features. if our dataset has perfectly positive or negative attributes as can be observed from our correlation analysis, there is a high chance that the performance of the model will