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1. Python-ML Python-ML Public

   Jupyter Notebook 1

2. Fast Eval Fast Eval

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   import pandas as pd

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   df = pd.read_csv('train.csv', header = None)

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   # Since heavily parametric models are not available (XGB or VARIMAX), i'll try to discard the autoregressive time factor and rely solely on a combined parametric or non-parametric method. 

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   # Lasso and linear should have a decent output but we'll fare it against RF given the p < n restriction and high sparsity.

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3. consumer-complaint-database consumer-complaint-database Public

   Shell

4. dbt-tutorial-course dbt-tutorial-course Public

   Forked from jack-cook-repo/dbt-tutorial-course

5. python-ml-models python-ml-models Public

6. time-series-python time-series-python Public

   Time Series data Analysis

   Jupyter Notebook