Machine Learning
Limitations of the Linear Regression
In the previous post, we discussed a Simple Linear Regression detailed Explanation. I recommend you to go through the post to have a detailed understanding of the Simple Linear Regression. There are a few assumptions that Linear Regression has to find the best fit line. NOTE: This assumptions hold true for Simple and Multi Linear Regression. Let's understand the assumptions of Linear Regression and discuss them in detail. Limitations of the Linear Regression We cannot apply linear…
Decision Tree Detailed Explanation
Decision Tree (a tree-based algorithm) is high interpretability and an intuitive algorithm. It works almost the same as that of the human mind works for decision making. We can think of it as a nested if and else statements forming an upside-down tree. Therefore, it is very easy to explain the results of the model to the business team. As you can see in the diagram shown above, on each node we ask the question and based on the answer we either go left or right. Also, note that the leaf of…