Polynomial Regression in Python using SciKit-Learn Library | Learn Predictive Modelling | Codegnan

In this Python Tutorial you'll learn about Polynomial Regression using Python Libraries [Matplotlib, Numpy, Pandas and Sci kit-Learn] and What is the importance of Regression in Daily life activities, how we relate from Linear Regression to Polynomial Regression and work with a real time example datasets.

Agenda:

1. What is Polynomial Regression?
2. Why Machine Learning and its importance in Linear Regression and Polynomial regression?
3. How to relate Regression to daily life activities.
4. Learn about Predictive Modelling
5. What is Scikit-Learn? and knowing about Libraries using Python
6. Building a Polynomial Regression model from scratch and relating to Scikit-learn.

Machine Learning the buzz word of 21st century, which people often think that it is not related to their field, as they only picture a robot:a dependable butler or a deadly Terminator depending on who you ask. But the unknown fact it is already into our daily life applications like Email Spam Filters, Fraud Detection, Recommendation Engine,Intelligent Assistants like Siri, Alexa, Ok Google.

Whenever you perform classification, the first step is to understand the problem and identify potential features and labels. Features are those characteristics or attributes which affect the results of the label


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