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  • HOME
  • BIO
  • RESEARCH
    • PUBLICATIONS
    • RESEARCH INTERESTS
    • SOFTWARES
  • TEACHING
    • WORKSHOPS >
      • WORKSHOP ON ML
      • TOUR OF AI
      • Workshop on Data Analytics
    • STATISTICAL INFERENCE (MATH350)
    • DATA ANALYTICS (MBA)
    • MULTIVARIATE DATA ANALYTICS (MATH260)
    • MACHINE LEARNING (MATH370)
    • ANALYSIS (UG LEVEL)
  • TALKS
  • LIBRARY
    • LECTURE NOTES
    • BOOKS I WROTE
    • VIDEO LETURES
  • ForeML LAB
    • FOREML LAB
    • APPLY HERE
    • MEMBERS
  • SPOTLIGHT
    • MEDIA
    • EPICASTING
    • MACROCASTING
    • AI in Medicine
    • Spatiotemporal Modeling
    • Imbalanced Learning
  • ETC
R and Python Packages:

We have built several packages for easy implementation of the methods developed in our studies. 

  • install.packages("hybridts") - Hybrid Time Series Forecasting Using Error Remodeling Approach [CRAN Link]
  • install.packages("epicasting") - An Ensemble Wavelet Neural Network for Forecasting and Epicasting (EWNet) [CRAN Link]
  • install.packages("countts") - Thomson Sampling for Zero-Inflated Count Outcomes [CRAN Link]
  • pip install imbalanced-spdf - Shape Penalized Decision Forests for Imbalanced Data Classification [Python Package]
​
Note: To access the publications, please refer to my Google Scholar Profile.

​​© 2013 onwards - Tanujit Chakraborty.​​