Gradient Boosted Trees

Case study

Pipeline Prediction

We built a data aggregation pipeline that brings in different sources of data into a cohesive view of metadata and time series events for sales pipelines. We developed three types of models, one tree based model, and two types neural network models (one being embeddings + multilayer perceptron, and the other being embeddings + LSTM).

Case study

Automatic valuation model to use predictive models in the real estate industry

Auto Valuation Model

KUNGFU.AI developed a proprietary XGBoost, Tree-based ML model that can predict home values accounting for thousands of structured and unstructured features. We established a human-in the loop training systems where brokers can give feedback and train the models.

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Gradient Boosted Trees