Category: R Language
Introducing Webhooks — Fastest Way to Collect DataToday we’re introducing webhooks, the fastest way you can send data to a JSON file from anywhere.The number 1 most taxing task when it comes to...continue reading.
Customers lifetime value (LTV or CLV) is one of the cornerstones of product analytics because we need to make a lot of decisions for which the LTV is a necessary...continue reading.
This is a a step by step guide to perform topic modelling in R language using JSTOR’s data for research (dfr) and visualize it with drf-browser developed by Andrew Goldstone....continue reading.
We will review another fascinating approach that marries heuristic and probabilistic methods. We will link marketing channels with a probability of a customer passing through each step of a Sales...continue reading.
Even though the concept of the first-order Markov chains is pretty simple, you can face other issues and challenges when implementing the approach in practice. We will review some of them This is...continue reading.
We will use Document-Term Matrix that is the result of Vocabulary-based vectorization for training the model for Twitter sentiment analysisRecently I’ve worked with word2vec and doc2vec algorithms that I found interesting...continue reading.
Using Markov chains allow us to switch from Google Analytics heuristic models to probabilistic ones. By computing the model and estimating transition probabilities we can attribute every channel/touchpoint As we...continue reading.