In this post, we will see one of the usage of machine learning using Python. But, initially we need to understand what machine learning is. Let’s talk about it.<\/p>\n\n\n\n
Machine Learning is getting computers to program themselves. If programming is automation, then machine learning is automating the process of automation.<\/p>\n\n\n\n
If programming is automation, then machine learning is automating the process of automation. By machine learning one can study the design of algorithm. Python is a complete language and platform that you can use for both research\/development and developing production systems. The main tasks as a part of learning “Machine Learning” are “clustering”(group of data which is in same pattern or context) and “finding predictive patterns” means you need to understand possible ways to solve the given problem. These tasks are learned through available data that were observed through experiences or instructions.<\/p>\n\n\n\n
Machine learning<\/a> has a number of well-known steps:<\/p>\n\n\n\n Now, let’s start with simple machine learning project using Prerequisite is you have already installed python in your system. There are 5 key libraries for python You can install these libraries using I recommend working directly in the interpreter or writing your scripts and running them on the command line rather than editors\/IDEs. Keep things simple and focus on the learning.<\/p>\n\n\n\nScipy<\/code><\/b><\/i> libraries.<\/p>\n\n\n\nInstallation<\/h2>\n\n\n\n
Scipy<\/code><\/b><\/i> libraries you need to install:<\/p>\n\n\n\npython -m pip install--user numpy scipy matplotlib ipython pandas<\/code><\/i><\/b> and pip install -U scikit-learn<\/code><\/i><\/b> if any error please refer this<\/a> and this<\/a>.<\/p>\n\n\n\nStart using it<\/h2>\n\n\n\n