Python Machine Learning
Introduction to Machine Learning With Python Machine Learning also termed ML. It is a subset of AI (Artificial Intelligence) and aims to grants computers the ability to learn by making use of statistical techniques. It deals with algorithms that can look at data to learn from it and make predictions. Tasks in Machine Learning Using Python With Python Machine Learning, we divide the tasks of Machine Learning Algorithms in Python into two broad categories- Supervised and Unsupervised. a. Supervised Learning b. Unsupervised Learning a. Supervised Learning Here, a learning signal/ feedback is available to the system; we give it to sample data to learn from. The computer holds example inputs and desired outputs with the goal of learning a general rule that maps inputs to outputs. One such example of Python Machine Learning will be to search for images on Facebook using keywords centered around the contents of the image. Under Supervised Learning, we have the following kinds ...