Machine Learning is simply making a computer perform a task without explicitly programming it. In today’s world, every system that does well as a machine learning algorithm at its heart. Take for example Google Search engine, Amazon Product recommendations, LinkedIn, Facebook etc, all these systems have machine learning algorithms embedded in their systems in one form or the other. They are efficiently utilizing data collected from various channels which helps them get a bigger picture of what they are doing and what they should do.
Python is a widely used high-level programming language for general-purpose programming. Apart from being an open-source programming language, python is a great object-oriented, interpreted, and interactive programming language. Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high-level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems.
Python is widely considered as the preferred language for teaching and learning Ml (Machine Learning).
Few simple reasons are:
- It’s simple to learn. As compared to c, c++ and Java the syntax is simpler and Python also consists of a lot of code libraries for ease of use.
- Though it is slower than some of the other languages, the data handling capacity is great.
- Open Source! – Python along with R is gaining momentum and popularity in the Analytics domain since both of these languages are open source.
- The capability of interacting with almost all third-party languages and platforms.
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