What you will learn:
- Create predictive, statistical and machine learning models with Python
- Learn how to evaluate, and optimise, the effectiveness of a model
- Understand how to apply predictive models in real-world business scenarios
Gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python. A predictive exercise is not finished when a model is built. This course will equip you with essential skills for understanding performance evaluation metrics, using Python, to determine whether a model is performing [...]
Learn how to build predictive models using machine learning. This course will give you an overview of machine learning-based approaches for predictive modelling, including tree-based techniques, support vector machines, and neural networks using Python.
Learn how to apply statistical modelling techniques to real-world business scenarios using Python. In this course, you will learn three predictive modelling techniques - linear and logistic regression, and naive Bayes - and their applications in real-world scenarios. The first half of the course focuses on linear regression. This [...]
Learn the predictive modelling process in Python. Create the insights needed to compete in business. This course provides you with the skills to build a predictive model from the ground up, using Python. You will learn the full lifecycle of building the model. First, you'll understand the data discovery [...]