Ementorhub

Skills you'll gain

Marketing Analytics

Algorithms

Marketing

Statistical Machine Learning

Market Analysis

Unsupervised Learning

Data-Driven Decision-Making

Unstructured Data

Machine Learning Algorithms

Anomaly Detection

Scikit Learn (Machine Learning Library)

Machine Learning Methods

Dimensionality Reduction

Customer Analysis

Customer Insights

Exploratory Data Analysis

Target Audience

Data Mining

Applied Machine Learning

Python Programming

There are 12 modules in this course

Throughout the course, you will explore various unsupervised learning techniques, such as clustering, dimensionality reduction, and association rule mining. These techniques will enable you to identify customer segments, uncover meaningful relationships between variables, and gain valuable insights into consumer behavior. By mastering the applications of unsupervised learning in marketing, you will acquire the skills to extract actionable knowledge from data, make data-driven decisions, and unlock new opportunities for your marketing strategies. So, get ready to embark on a journey of discovery and innovation as you explore the fascinating world of unsupervised learning and its transformative applications in marketing. Let's dive in and unlock the hidden potential of data-driven marketing together! To succeed in this course, you should have a basic understanding of Python. You will also need certain software requirements, including Anaconda navigator.

Clustering and Its Types

Weekly Summative Assessment: Fundamentals of Unsupervised Learning and Clustering

Data-Driven Customer Segmentation

Dimensionality Reduction

Weekly Summative Assessment: Data-Driven Customer Segmentation and Dimensionality Reduction

Anomaly Detection

Autoencoders and Association Learning

Weekly Summative Assessment: Anomaly Detection, Autoencoders, and Association Learning

Semi-Supervised Learning

Recommender systems Using RBM

Weekly Summative Assessment: Semi-Supervised Learning and Recommender systems Using RBM