In the previous blog post, we saw linear regression and how to interpret the coefficient values. This blog post will see what a decision tree is, how to create it, and how to tune/prune the decision tree.
What is a decision tree:
Decision trees are supervised algorithms used in machine learning. As the name implies, they are used to make decisions based on the conditions. The decision tree follows the IF_ELSE condition. For example, we have a dataset that consists of bank customer details, and the target column consists of classes that could be either 1 or 0 based on the salary. …
This blog post is all about an introduction to linear regression and interpreting the coefficient values. Let us also see the RMSE and R-Square value interpretation of the model.
Introduction to Linear Regression Model:
Linear regression is a machine learning algorithm that is used for prediction. In this current world of uncertainty, we need to predict certain things to keep things on track. For example, the sales marketing manager wants to know the demand for drugs taking into account all seasonal variations to help the drug manufacturing companies. Here is the equation for the linear regression model.
In my previous blog post, I shared my interest in data science and why it is important. In this blog, I would like to share how to analyze data, project the outcome of our analysis, and predict from the dataset.
Reason for analysis:
First of all, we need to think about what I will find with the dataset and how to do it. Suppose one of the top leading companies wants to make a movie, and they want to know what type of movie to make to be a successful one. …
I would like to share a few things about myself before my interest in data science. I am an engineering graduate in Computer Science but worked as a cataloging assistant which basically had no programming stuff to workaround. Later had an unfortunate career break and life seems super busy running behind my toddler. Recently thought of creating a cooking blog to make use of this lockdown. I just love cooking! But finally ended up here writing a blog on Data Science. I might sound weird but Yes I feel that I am on a right track.
What made me land on Data Science:
When I was working…
