Machine Learning Framework This is a code summary for the Machine learning mastery with python, which is following a practical approach of how to implement a machine learning project, with the following steps.

1- Understand Data With Descriptive Statistics. (Analyze Data)
2- Understand Data With Visualization. (Analyze Data)
3- Pre-Process Data. (Prepare Data)
4- Feature Selection. (Prepare Data)
5- Resampling Methods. (Evaluate Algorithms)
6- Algorithm Evaluation Metrics. (Evaluate Algorithms)
7- Spot-Check Classification Algorithms. (Evaluate Algorithms)
8- Spot-Check Regression Algorithms. (Evaluate Algorithms)
9- Model Selection. (Evaluate Algorithms)
10- Pipelines. (Evaluate Algorithms)
11- Ensemble Methods. (Improve Results)
12- Algorithm Parameter Tuning. (Improve Results)
13- Model Finalization. (Present Results)