Unlock modern machine learning techniques with Python by using the latest cutting-edge open source Python libraries.
This is Part 1 of the Python Machine Learning series. In this course, we provide a practical approach to key frameworks in data science and machine learning. We cover the mathematics behind several machine learning algorithms. Then, using we use Python to implement these algorithms from scratch and with the
Understand the key frameworks in data science, machine learning, and deep learning, Harness the power of
scikit-learn, Learn the mechanics of classification algorithms to implement the best tool for the job
Basic Python programming and familiarity with the
NumPy library, Understanding of basic linear algebra concepts, Knowledge of introductory calculus (preferable, but not necessary)