Machine Learning with Python from Scratch

Machine Learning is a hot topic!  Python Developers who understand how to work with Machine Learning are in high demand. But how do you get started? Maybe you tried to get started with Machine Learning, but couldn’t find decent tutorials online to bring you up to speed, fast. Maybe the information you found was too basic, and didn’t give you the real-world Machine learning skills using Python that you needed. Or maybe the information got bogged down in complex math explanations and was too difficult to relate to. Whatever the reason, you are in the right place if you want to progress your skills in Machine Language using Python. This course will help you to understand the main machine learning algorithms using Python, and how to apply them in your own projects. But what exactly is Machine Learning? It’s a field of computer science that gives computers the ability to “learn” – e.g. continually improve performance on a specific task, with data, without being explicitly programmed. Why is it important? Machine learning is often used to solve tasks considered too complex for humans to solve.  We create algorithms and apply a bunch of data to that algorithm and let the computer process (execute) the algorithm and search for a model (solution). Because of the practical applications of machine learning, such as self driving cars (one example) there is huge interest from companies and government in Machine learning, and as a result, there are a a lot of opportunities for Python developers who are skilled in this field. If you want to increase your career options, then understanding and being able to work with Machine Learning with your own Python programs should be high on your list of priorities. What will you learn in this course? F