Alternatives and similar repositories for proflogit:

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

• manifoldai / mf-eng-public
  ☆51Updated 6 years ago
• MustafaOguz / Survival_Analysis
  Survival Analysis with non-parametric, semi-parametric, and parametric models
  ☆39Updated 6 years ago
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• pourya-ir / Medium
  ☆49Updated 5 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆63Updated last year
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• Sundar0989 / WOE-and-IV
  ☆137Updated 6 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆47Updated 3 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆134Updated last year
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 3 years ago
• jimmycy93 / Credit-Card-Fraud-Detection
  A project on machine learning techniques dealing with imbalanced classification (Python)
  ☆11Updated 7 years ago
• KirillTushin / target_encoding
  This package gives you the opportunity to use a Target mean Encoding.
  ☆15Updated 3 years ago
• smazzanti / tds_black_box_models_more_explainable
  Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…
  ☆72Updated last year
• johntwk / Python-ML-rolling-grid-search
  Hyperparameter tuning and rolling time-series forecast for machine learning models
  ☆17Updated 7 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆80Updated 6 years ago
• hamaadshah / autoencoders_tensorflow
  Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
  ☆72Updated last year
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆36Updated 3 years ago
• ragulpr / wtte-rnn-examples
  Examples of implementations of WTTE-RNN
  ☆33Updated 6 years ago
• gameofdimension / xgboost_explainer
  A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer
  ☆42Updated 6 years ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 5 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆52Updated 7 years ago
• statcompute / mob
  Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
  ☆60Updated 4 years ago
• softwaredeng / inTrees
  inTrees package
  ☆39Updated 8 months ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆26Updated 7 months ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 7 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• zhouyonglong / Multi-Channel-Attribution
  Multi Channel Attribution
  ☆10Updated 7 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆100Updated 6 years ago