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predictive-modeling

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DALEX
pbiecek
pbiecek commented Mar 14, 2020

General:

  • remove outdated examples from DALEX_docs
  • prepare skeleton for R/Python docs

R specific:

  • prepare Introductory materials to predictive models for titanic and apartments
  • prepare Introductory materials to explain()
  • prepare Introductory materials to predict_parts()
  • prepare Introductory materials to predict_profile()
  • prepar
retentioneering-tools

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, machine learning, and Monte Carlo Markov Chain simulations framework over Pandas, Networkx and sklearn.

  • Updated Jun 19, 2020
  • Python

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

  • Updated Mar 28, 2020
  • Jupyter Notebook
A-gata
A-gata commented Jun 20, 2019

A clear and concise description of what you would like to see added to BAS.
I think the bestmodel argument is not clearly explained if one wants to modify it, would it be possible to include an example of using it with something other than the default?

I understand it as being able to specify which model should come first but it's not clear how and I haven't been able to determine that.

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