Netflix Conjoint Analysis - Case Study
This case study employs choice-based conjoint analysis to explore customer preferences for Netflix service plans, focusing on how attributes like pricing, account options, and content offerings influence consumer decisions. The analysis provides actionable insights for strategic service enhancements and competitive positioning in the streaming market.
Blockchain, Smart Contracts, Web3 & Ethereum
This article provides an introductory overview of blockchain technology, highlighting its fundamental components: Blockchain, Ethereum, Web3, and Smart Contracts. It breaks down complex concepts into easily digestible explanations, offering readers a clear understanding of these revolutionary digital advancements.
NLP & Transformers: Demystifying false ideas
This article explores Transformers in NLP, covering their evolution, key models like BERT and GPT, and their impact on AI and language processing. It also discusses the challenges and future potential in the field.
PyTorch Transfer Learning
Transfer learning has become a staple technique in the field of machine learning, particularly in tasks that involve large amounts of data and computation, such as computer vision. Here’s a structured approach to guide you through this process, with a focus on practicality rather than oversimplified examples.
CatBoost Classifier: Simple Guide for Everyone
This post is made for those who wish to understand what CatBoost is and why it’s important in the world of machine learning. It’s a straightforward and easy-to-follow guide, ideal for anyone looking to grasp the essentials of CatBoost.