With these tutorials you will go through an example of full data science project, from the storage of input data to the deployment of a machine learning model:

1. Setting up the working environment
2. MongoDB database
3. Exploring the data
4. Comparing machine learning algorithms. Accuracy
5. Comparing machine learning algorithms. Cumulative accuracy profile
6. Model tuning
7. Saving the model
8. Loading unseen data
9. Deployment steps
1. Preparing the data. Download the script
2. Making predictions. Download the script
3. Validating the model. Download the script
4. Whole procedure (launcher). Download the script

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