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When it comes to multi-channel attribution models, the 2 most common models are Markov and Shapley models. While there are plenty of blogs talking about these models along with the Python libraries to implement them, it was a struggle to find resources that talk about these models, not to a data scientist but a marketer. […]
When it comes to forecasting sales, most marketers rely on a simple function in excel, sometimes their boss’s fancy or even wild conjectures. While realistic forecasts are hard to put together, marketers can leverage pre-built machine learning regression models to their use. This now only gives realistic and pretty accurate predictions about your sales and […]
While machine learning and artificial intelligence are making news every now and then, it hasn’t changed the way we do marketing. Most marketers rely on the pre-built models in tools to guide their way through machine learning. While there are challenges in terms of learning python and implementing a lot of the machine learning models […]