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  • TU Berlin
  • Berlin, Germany

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@ellak-monades-aristeias

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  1. Multiclass-classification Multiclass-classification Public

    A multiclass classifier where the response variable (column256) can be one of the five possible classes A, B, C, D, E. The dataset doesn't include the names of the variables because it's not a publ…

    Python 3 1

  2. Marketing-mix-models Marketing-mix-models Public

    The proposed model predicts the number of acquisitions based on the daily spends for advertising on TV and FB.

    Jupyter Notebook 2 1

  3. Synthetic_Anomaly_Data_Points Synthetic_Anomaly_Data_Points Public

    This notebook presents a series of functions for generating synthetic time series data. We attempt to simulate time series as realistic as possible with different shapes, frequency, period and with…

    Jupyter Notebook 2

  4. Multi-Domain-Active-Learning Multi-Domain-Active-Learning Public

    Multi Domain Sentiment Classification using Active Learning

    Python 2

  5. Revenues_predictions Revenues_predictions Public

    A predictive model based on SARIMA for forecasting the revenues for the next 15 days for a registered non-store online retail.The company mainly sells unique all-occasion gifts. Data span the peri…

    Jupyter Notebook 1 1

  6. Cross_Domain_Sentiment_Classification Cross_Domain_Sentiment_Classification Public

    Python 1