Overview: Hands-on approach for implementing supervised learning algorithms like decision tree, RF, SVM, and Neural Nets with Python.Cover the mathematics of supervised learning algorithms in a lucid manner.Dis.Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well as text and images datasets..You’ll start with an introduction to machine learning, high
|