Alternatives and similar repositories for time-series-spark:

Users that are interested in time-series-spark are comparing it to the libraries listed below

• jeremite / channel-attribution-model
  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
• jmwoloso / pychattr
  Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library
  ☆58Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• ianchute / shapley-attribution-model-zhao-naive
  A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
  ☆38Updated 4 years ago
• wwwjk366 / gower
  Python package for Gower distance
  ☆77Updated 9 months ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆26Updated 3 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 4 years ago
• nachonavarro / seasonal-esd-anomaly-detection
  Anomaly detection algorithm implemented at Twitter
  ☆112Updated last year
• mohodhruda / Attribution-Modeling-Budget-Optimization
  ☆14Updated 4 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆61Updated 5 years ago
• alessandroaere / ERMiner
  ERMiner: Sequential Pattern Mining algorithm for Sequential Rules generation and Event Prediction
  ☆13Updated 4 years ago
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 5 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆113Updated 2 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆81Updated 6 years ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated last year
• jrkinley / game-theory-attribution
  Data-Driven Marketing Attribution
  ☆32Updated 4 years ago
• pourya-ir / Medium
  ☆49Updated 5 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆116Updated 9 months ago
• GoogleCloudPlatform / tensorflow-lifetime-value
  Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
  ☆168Updated 6 months ago
• sllynn / spark-xgboost
  A Python wrapper for XGBoost4J-Spark classes.
  ☆47Updated 10 months ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆103Updated 5 years ago
• psarka / uplift
  ☆34Updated 6 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆63Updated last year
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated last year
• nikhitmago / lookalike-modelling
  Finding customer lookalikes using Machine Learning in PySpark
  ☆33Updated 6 years ago
• ismailuddin / markovclick
  Python package to model clickstream data as a Markov chain. Inspired by R package clickstream.
  ☆43Updated 4 years ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆32Updated 3 years ago