Advertising Optimization Module

Marketing Machine Learning

Businesses may find online advertising complex and confusing. One challenge is to maximize results in a cost-effective manner. Based on historical data from advertising campaigns, we developed a response model to simulate different types of custom audience behavior.

Combining this with a model for campaign parameter selection, we created a virtual environment to run advertising campaign simulations.

Technologies

Reinforcement Learning
Recurrent Neural Network
Scipy
PyTorch
Random Forest
Decision Tree
Scikit-learn
PostgreSQL
Python
Numpy
Jupyter
Docker
Kubernetes

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Leading Marketing Provider

Advertising Optimization Module

Technologies

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