nikhitmago / lookalike-modelling
Finding customer lookalikes using Machine Learning in PySpark
☆33Updated 6 years ago
Alternatives and similar repositories for lookalike-modelling:
Users that are interested in lookalike-modelling are comparing it to the libraries listed below
- Finding similar, high-valued users based on seed users. The model includes 1805 features using Hive HQL and AWS Redshift.☆33Updated 5 years ago
- A simplified version of featuretools for Spark☆31Updated 5 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆38Updated 4 years ago
- ☆27Updated 3 years ago
- Bayesian AB Tests Examples☆22Updated 2 years ago
- ☆34Updated 6 years ago
- Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial☆22Updated 7 years ago
- A Python wrapper for XGBoost4J-Spark classes.☆47Updated 10 months ago
- convert DataFrame to libffm data format in parallel☆30Updated 6 years ago
- Hands-on workshop☆38Updated 6 years ago
- Some notes/codes on hyperparameters tuning techniques with some hacking around...☆24Updated 6 years ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆19Updated 5 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 5 years ago
- Python library for converting Apache Spark ML pipelines to PMML☆96Updated last year
- environment setup for strata conference 2018☆67Updated 6 years ago
- 32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)☆20Updated 6 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 4 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆30Updated 3 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- Bosch Kaggle competion: Reduce manufacturing failures (https://www.kaggle.com/c/bosch-production-line-performance)☆24Updated 8 years ago
- ☆23Updated 6 years ago
- An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"☆57Updated 6 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆30Updated 6 years ago
- JPMML-SparkML plugin for converting LightGBM-Spark models to PMML☆41Updated 3 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆168Updated 6 months ago
- ☆137Updated 6 years ago
- Java library and command-line application for converting XGBoost models to PMML☆128Updated 2 weeks ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 6 years ago
- ☆63Updated 3 years ago