Unlock modern machine learning techniques with Python by using the latest cutting-edge open source Python libraries.
This is Part 2 of the Python Machine Learning series. In this course, we provide a practical approach to key frameworks in data science and machine learning. Using
scikit-learn to implement machine learning, get to know the best practices to improve and optimize your machine learning systems and algorithms.
Master machine learning techniques using challenging real-world data, Understand how to preprocess data for particular models,Delve into dimensionality reduction techniques, Learn how to optimize machine learning algorithms by evaluating the models and tuning hyperparameters,and Understand ensemble learning
Basic Python programming and familiarity with the
NumPy library, Understanding of basic linear algebra concepts
Completion of Python Machine Learning Part 1 is highly recommended