
import pickle
import sys
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit

data_dict = pickle.load(open("../final_project/final_project_dataset.pkl", "r") )

### add more features to features_list!
features_list = ["poi", "salary"]

data = featureFormat(data_dict, features_list)
labels, features = targetFeatureSplit(data)



### it's all yours from here forward!  




import pickle
import sys
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit

data_dict = pickle.load(open("../final_project/final_project_dataset.pkl", "r") )

### first element is our labels, any added elements are predictor
### features. Keep this the same for the mini-project, but you'll
### have a different feature list when you do the final project.
features_list = ["poi", "salary"]

data = featureFormat(data_dict, features_list)
labels, features = targetFeatureSplit(data)



### it's all yours from here forward!  



Improve instructions for Lesson 13 mini-project.
Improve instructions for Lesson 13 mini-project.
  
  import pickle
  import sys
  sys.path.append("../tools/")
  from feature_format import featureFormat, targetFeatureSplit
  
  data_dict = pickle.load(open("../final_project/final_project_dataset.pkl", "r") )
  
- ### add more features to features_list!
+ ### first element is our labels, any added elements are predictor
+ ### features. Keep this the same for the mini-project, but you'll
+ ### have a different feature list when you do the final project.
  features_list = ["poi", "salary"]
  
  data = featureFormat(data_dict, features_list)
  labels, features = targetFeatureSplit(data)
  
  
  
  ### it's all yours from here forward!  
  
  
  
Improve instructions for Lesson 13 mini-project.
## Code Before:

import pickle
import sys
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit

data_dict = pickle.load(open("../final_project/final_project_dataset.pkl", "r") )

### add more features to features_list!
features_list = ["poi", "salary"]

data = featureFormat(data_dict, features_list)
labels, features = targetFeatureSplit(data)



### it's all yours from here forward!  



## Instruction:
Improve instructions for Lesson 13 mini-project.
## Code After:

import pickle
import sys
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit

data_dict = pickle.load(open("../final_project/final_project_dataset.pkl", "r") )

### first element is our labels, any added elements are predictor
### features. Keep this the same for the mini-project, but you'll
### have a different feature list when you do the final project.
features_list = ["poi", "salary"]

data = featureFormat(data_dict, features_list)
labels, features = targetFeatureSplit(data)



### it's all yours from here forward!  


