Project Description
Prepare a prototype of a machine learning model for "Zyfra". The company develops solutions for the efficient operation of industrial enterprises.
The model should predict the gold recovery coefficient from gold-bearing ore. You have access to data with mining and purification parameters.
The model will help optimize production to avoid launching a facility with unprofitable characteristics.
You need to:
◦ Prepare the data.
◦ Conduct exploratory data analysis.
◦ Build and train the model.
This project was completed during the learning process in Yandex.Practicum, in the Data Science Specialist profession.
| Project Name | Description | Libraries used |
|---|---|---|
| Composite Project - 2 | Prepare a prototype of a machine learning model for 'Zyfra'. The company develops solutions for the efficient operation of industrial enterprises. The model should predict the gold recovery coefficient from gold-bearing ore. | catboost, json, matplotlib.pyplot, numpy, pandas, scipy, sklearn, time, warnings |