Laying foundation for Machine Learning by mastering Linear Regression
What you will learn
☑ Regression and its Key Types
☑ What we are Predicting (Example)
☑ Linear Regression Advantages and Disadvantages
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.
Here is detailed Agenda for the course:
- Regression and its Key Types
- What we are Predicting (Example)
- Linear Regression Advantages and Disadvantages
We are an official training delivery partner of Confluent Kafka.. We conduct corporate trainings on various topics including Confluent Kafka Developer, Confluent Kafka Administration, Confluent Kafka Real-Time Streaming using KSQL & KStreams and Confluent Kafka Advanced Optimization. Our instructors are well qualified and vetted by Confluent for delivering such courses.
Regression and its Key Types
What we are Predicting (Example)
Linear Regression Advantages and Disadvantages
Demo Part 1
Demo Part 2