Alternatives and similar repositories for customer_lifetime_value_prediction

Users that are interested in customer_lifetime_value_prediction are comparing it to the libraries listed below

• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• gslicht / Using_NLP_to_Predict_Almost_Bankruptcy
  ☆12Updated 5 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆39Updated last year
• sarincr / Time-series-analysis-using-Python
  Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
  ☆34Updated 5 years ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆57Updated last year
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 4 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆64Updated 2 years ago
• dachosen1 / Feature-Engineering-for-Fraud-Detection
  Implementation of feature engineering from Feature engineering strategies for credit card fraud
  ☆42Updated 4 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• AdityaLab / PROFHiT
  ☆31Updated 3 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• adib0073 / Time_Series_Anomaly_Detection
  Effective Approaches for Time Series Anomaly Detection
  ☆11Updated 5 years ago
• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 7 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆17Updated 2 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 10 months ago
• AIStream-Peelout / awesome_time_series_in_python
  This curated list contains python packages for time series analysis
  ☆14Updated 2 years ago
• sujikathir / Intermittent-demand-forecasting
  Predicting the Sales using Time-series forecasting for month-wise data.
  ☆21Updated 4 years ago
• quantsense / TimeSeries_Notebooks_Collections
  Jupyter Notebooks Collection for Learning Time Series Models
  ☆74Updated 6 years ago
• kozodoi / Fair_Credit_Scoring
  ⚖️ Fair ML in credit scoring: Assessment, implementation and profit implications
  ☆40Updated 3 years ago
• druce / iowa
  Iowa House Prices Kaggle (top 5%)
  ☆15Updated last year
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆73Updated 5 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 3 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆35Updated 7 years ago
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆80Updated 4 years ago
• KevinFasusi / supplychainpy_notebooks
  Jupyter Notebooks for supplychainpy
  ☆23Updated 8 years ago