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Examples how MLJAR can be used
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README.md

README.md

Examples of using MLJAR python API

Examples how MLJAR python API can be used for building machine learning models:

  • auto-trading-numerai is an example of stock market prediction based on raw data from Numer.ai. It is a task of building binary classifier. In the example we run Xgboost, LightGBM and Neural Network models.
  • UCI-Adult is an example of model which predicts whether income exceeds $50K/yr based on census data. It is a task of binary classification. In the example we run Random Forest, LightGBM and Xgboost models.

What's going on?

  1. In this examples you load example datasets and build machine learning models with MLJAR.
  2. To build models with MLJAR you are using our super easy python API.
  3. MLJAR will check for you many machine learning algorithms, tune each of algorithm and create an ensemble.
  4. You can view details of your models on MLJAR website after login to your account.
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