--> Project Description This project analyzes mall customer data using Machine Learning. The customer data is processed in Google Colab using Python. Data cleaning, exploratory data analysis (EDA), ...

Sure, artificial intelligence can write a 2,000-word blog post in minutes. Amazing, right? But then you hesitate to hit “publish” because you’ve heard about the brands that did exactly that and then ...

Static segmentation isn't personalization. Sinch's Sophie Cheng on using behavioral signals, optimal channel, AI to make B2B ...

For a discounting strategy to have any chance at success, gut feelings won’t do. Real data and performance metrics must guide ...

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Effective B2B personalization requires more than audience segments. Discover how unified customer profiles, cross-channel ...

Files Included customer_data.csv - Original customer dataset customer_segmentation.py - Python analysis and clustering code customer_segments.csv - Final dataset with cluster and segment labels ...

Thinking Machines Lab released Inkling on July 15, 2026, its first model trained from scratch. The full weights ship under Apache 2.0. It is a 975B-parameter Mixture-of-Experts transformer with 41B ...

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