Getting Started with Linear Regression
Getting Started with Linear Regression. Learn about Linear Regression models, its key types, its advantages/disadvantages and predictions along with the pragmatic hands-on experience.
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Laying foundation for Machine Learning by mastering Linear Regression
IT revolution 4.0 has AI, ML, Big Data and Automation as its four pillars on which it is standing strong. As we started working with these technologies Machine Learning is something which is quite fascinating and most desirable field right now in the market. Either it is telecom sector or mechanical Machine Learning is used everywhere. But the thing is in the hurry to learn Machine Learning we forgot to focus on the basic algorithms and directly move to fancy algorithms.
So lets take a fresh start toward the machine learning by making our base strong enough for the construction of long stand building. This course would help you learn Linear Regression models, its key types, its advantages/disadvantages and predictions along with the pragmatic hands-on experience.
If you are still reading, then what are you waiting for? Join our course for clearing your basics and taking your first strong step towards mastering Machine Learning.
What you’ll learn
Regression and its Key Types
What we are Predicting (Example)
Linear Regression Advantages and Disadvantages
Demo
Are there any course requirements or prerequisites?
Participants should have knowledge of Python Programming
Who this course is for:
Data Engineers
Data Scientists
Machine Learning Engineers
Data Integration Engineers
Data Architects
#LinearRegression #MachineLearning #DataScience
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