When we solve a machine learning problem, the algorithm that we may end up using depends on the type of data that we have and the problem itself. And despite having numerous algorithms to choose from, there is still a general procedure or framework that we follow to solve our problem.
In this post we will go through that generic process or framework which can be used as a template to solve any machine learning problem. After reading this article, you will -
Understand the basics of Machine Learning
See various steps involved in the Machine Learning process
Get to know about other popular Machine Learning Frameworks

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