Build Machine learning models
Budget: €30 – €250 EUR
We are looking for a data scientist to build machine learning algorithms to provide ML-based services for eCommerce businesses
your job is to build algorithms that:
- Import the data from the data sources like (Shopify , WooCommerce, BigCommerce, google analytics, etc.) by using API.
- Determine which data attributes (features) will be used for each service.
- Prepare automated pre-processing algorithms to prepare the data to get it into the ML models, so all the feature engineering (unify the data, outliers handling, missing values handling, etc.) will be done automatically by these algorithms regardless the source of data.
- contain at least 3 ML models for each service and the models will be evaluated automatically and choose the one that has the higher scores.
- Prepare the output of the models to be delivered to the end user (for examples : visualization, exporting to excel or csv file, export it with API to be integrated with other platforms)
And please note that:
- The algorithms should be written with Python
- You will be responsible about getting the data you will use to build and evaluate the ML-models.
- The algorithms will be the core of a web application, so please take into confederation that it will be easy to be applied by backend developer in the web application.
In the attached excel file you can find the services.
If you have any question , fell free to ask.
Thanks
your job is to build algorithms that:
- Import the data from the data sources like (Shopify , WooCommerce, BigCommerce, google analytics, etc.) by using API.
- Determine which data attributes (features) will be used for each service.
- Prepare automated pre-processing algorithms to prepare the data to get it into the ML models, so all the feature engineering (unify the data, outliers handling, missing values handling, etc.) will be done automatically by these algorithms regardless the source of data.
- contain at least 3 ML models for each service and the models will be evaluated automatically and choose the one that has the higher scores.
- Prepare the output of the models to be delivered to the end user (for examples : visualization, exporting to excel or csv file, export it with API to be integrated with other platforms)
And please note that:
- The algorithms should be written with Python
- You will be responsible about getting the data you will use to build and evaluate the ML-models.
- The algorithms will be the core of a web application, so please take into confederation that it will be easy to be applied by backend developer in the web application.
In the attached excel file you can find the services.
If you have any question , fell free to ask.
Thanks