Data Munging, Data Wrangling and Data Preparation Simplified
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Updated
Jul 19, 2017 - Python
Data Munging, Data Wrangling and Data Preparation Simplified
Machine learning tests
Bayesian Optimization for Categorical and Continuous Inputs
Predict future housing sale price using advanced regression technique (Random Forest)
A simple library to calculate correlation between variables. Currently provides correlation between nominal variables.
Encode Categorical Features based on Target/Class
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
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