Each machine learning problem is unique, so it can be challenging to manage raw data, identify key features that impact your model, train multiple models, and perform model assessments. In this session we explore the fundamentals of machine learning using MATLAB.
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Learning NumPy 13 Indexing15 Handling non-existing values 15 Comparing runtime behaviors 16 Learning SciPy 17 Our first (tiny) machine learning application 19 Reading in the data 19 Preprocessing and cleaning the data 20 Choosing the right model and learning algorithm 22 Before building our first model 22 Starting with a simple straight line 22
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