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TU Berlin
- Berlin, Germany
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Multiclass-classification
Multiclass-classification PublicA 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…
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Marketing-mix-models
Marketing-mix-models PublicThe proposed model predicts the number of acquisitions based on the daily spends for advertising on TV and FB.
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Synthetic_Anomaly_Data_Points
Synthetic_Anomaly_Data_Points PublicThis 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
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Multi-Domain-Active-Learning
Multi-Domain-Active-Learning PublicMulti Domain Sentiment Classification using Active Learning
Python 2
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Revenues_predictions
Revenues_predictions PublicA 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…
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