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Collection of Notebooks, Reusable code and approaches for Standard Problems

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CompetitionNotebooks

Collection of Notebooks, Reusable code and approaches for approaching Standard Problems. Notebooks in the current Repository contain Reusable Code for:

  • Forecasting
  • Regression
  • Classification
  • NLP Shallow Learning
  • NLP Deep Learning(Embeddings)
  • Hyper-parameter tuning using Bayesian Optimization, Random Search and Tree Based Minimization Procedures

I scored 5th Rank in the Forecasting Competition, Top 100 in most of the other competitions and Top 200 in all the other competitions. This repository will be constantly updated by me.

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Collection of Notebooks, Reusable code and approaches for Standard Problems

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