Machine Learning for Marketing

Apply Python as an effective tool for supervised learning techniques. Develop and train supervised machine learning models for classification and regression tasks. Interpret various applications of supervised learning in marketing.

Learn to apply Python for implementing various unsupervised learning algorithms. Explore the applications and promising areas for the application of unsupervised learning in marketing.

Gain a solid understanding of the decision-making process through data analytics. Visualize and apply data analytics techniques to real-world marketing problems to enhance the quality of marketing decision-making.

Comprehend text mining and its use cases in the marketing discipline. Identify potent analytical techniques for text and other types of data, and apply them for decision-making in marketing.

Understand consumer journey, intent, and activity on business websites. Discuss various digital marketing platforms, create a digital marketing strategy, and analyze data insights from Google Analytics to fine-tune brand image and market objectives.