My first machine learning project

"Use the Machine Learning Workflow to process and transform Pima Indian data to create a prediction model. This model must predict which people are likely to develop diabetes with 70% or greater accuracy"

1. Asking the right question
2. Preparing data
3. Selecting the algorithm
4. Training the model
5. Testing the model

1. Early steps are most important - Each step depends on previous steps
2. Expect to go backwards - Later knowledge effects previous steps
3. Data is never as you need it - Data will have to be altered
4. More data is better - More Data => Better Results
5. Think before acting - Understand results before changing data or model
6. Don't pursue a bad solution - Reevaluate, fix or quit

(write in python 3.6)