Understand the fundamentals of Machine Learning and how it's applied in the business world.

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

This course will explore the conceptual aspects of applying machine learning to problems in the financial services industry and discuss case studies of machine learning used in financial services.

This course will explore the conceptual aspects of applying machine learning to problems in the healthcare industry, discuss case studies of machine learning used in healthcare, and explore practical implementations of techniques on real-world data from that industry.

This course will explore the conceptual aspects of applying machine learning to problems in marketing, discuss case studies of machine learning used in the marketing sector, and explore practical implementations of techniques on real-world data from that industry.

In this course you'll learn how to use data science for several common marketing tasks.

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

This course will explore the conceptual aspects of applying machine learning to problems in the retail industry, discuss case studies of machine learning used by retailers, and explore practical implementations of techniques on real-world data.

This course focuses on feature engineering and machine learning for time series data.

Explore machine learning techniques for developing trading algorithms and strategies in financial markets.

Discover how to apply machine learning techniques to trading strategies and financial markets.

This course is a hands-on intro to machine learning concepts anbd showcases the use of Python and its key ML libraries in practical coding examples.