Data

We will explore the Telco Customer Churn dataset to understand different types of features and find missing values in the dataset.

In this blog we'll implement the first 3 steps on a customer dataset for Churn Prediction.

Without good performance, machine learning (ML) models won’t provide much value. Introducing, strategies to improve model performance metrics and runtime.

When working with AI, it’s important to know how to import data sets, read through tables, and understand what the structure is.

Using AI and the Style GAN variant, we were able to train a dataset of ~35,000 Pokemon images, we were able to create a few new suggested Pokemon.

A dual space approach to creating query and document embeddings for ranking can offer more contextually relevant results than the traditional approach.