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Pinned

  1. Data and Code for replicating the World Development paper "A Data-Driven Approach Improves Food Insecurity Crisis Prediction"

    R

  2. Data and code for replicating the paper "Effects of Stock holding policy on Maize Prices: Evidence from Zambia"

    R

  3. Use price, weather data to predict food security in sub-saharan Africa

    Python

  4. Code for automatic downloading, extracting and processing CHIRPS rainfall data

    R 2

  5. Use PySpark to analyze user behavior, predict churn and build recommendation system in a music box app.

    Jupyter Notebook

  6. automate price cleaning and updating process using R scripts.

    R

300 contributions in the last year

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