Alternatives and similar repositories for Survival-Analysis-Intuition-Implementation-in-Python

Users that are interested in Survival-Analysis-Intuition-Implementation-in-Python are comparing it to the libraries listed below

• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆77Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆87Updated 2 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆48Updated 7 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆71Updated 4 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆142Updated 3 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• MustafaOguz / Survival_Analysis
  Survival Analysis with non-parametric, semi-parametric, and parametric models
  ☆39Updated 7 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆20Updated 3 years ago
• domingos108 / time_series_functions
  In this repository, there are implementations of: Residual Hybrid Systems; performance metrics; methods that can help the development of…
  ☆28Updated 3 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 week
• aimlnerd / Deploy-machine-learning-model
  Dockerize and deploy machine learning model as REST API using Flask
  ☆78Updated 2 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 4 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• AntonsRuberts / datascience_marketing
  Here I'll publish all of my personal projects that relate to Data Science in Marketing
  ☆49Updated 5 years ago
• hanhanwu / Hanhan_Data_Science_Practice
  data analysis, big data development, cloud, and any other cool things!
  ☆31Updated last year
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆34Updated 7 years ago
• pourya-ir / Medium
  ☆49Updated 5 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆84Updated 7 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year