How to Use Hierarchical Clustering For Customer Segmentation in Python
Have you ever found yourself wondering how you can better understand your customer base and target your marketing efforts more … Read more
Digital Transformation
Machine learning plays a crucial role in the digital transformation, which is the process of using digital technologies to fundamentally change how an organization operates and delivers value to its customers. It involves the integration of digital technology into all areas of a business, fundamentally changing how the business operates and how it engages with its customers. Digital transformation can help organizations become more agile, efficient, and innovative, and can enable them to create new business models, products, and services. Some examples of digital transformation include the use of automation and artificial intelligence to improve processes, the use of data analytics to make better business decisions, and the use of mobile and web technologies to improve customer engagement.
Unlocking the Potential of Machine Learning in the Insurance Industry: Five Use Cases with High Business Value
The insurance industry has long harnessed technology’s transformative power. From online policy applications to modernized claims processing systems, the tech … Read more
Customer Churn Prediction – Understanding Models with Feature Permutation Importance using Python
Customer retention is a prime objective for service companies, and understanding the patterns that lead to customer churn can be … Read more
Training a Sentiment Classifier with Naive Bayes and Logistic Regression in Python
Are you ready to learn about the exciting world of social media sentiment analysis using Python? In this article, we’ll … Read more