@@ -263,3 +263,37 @@ d. Logistic Regression Cross Validation
263263- Slightly below 70% target
264264- Better performance on real data;
265265
266+ -----------------------------------------------------------------------------------------------------------------------
267+ Key Points
268+ -------------
269+ -> Machine Learning is Data driven;
270+ -> Follow the Machine Learning WorkFlow;
271+ 272+ * Machine Learning Workflow
273+ ----------------------------
274+ i. Asking the right question
275+ - Started with question;
276+ - Used requiredments and knowledge to transform;
277+ - Resulted in solution statement;
278+ 279+ ii. Preparing the data
280+ - Retrieved diabetes data;
281+ - Cleaned data;
282+ - Molded data;
283+ 284+ iii. Selecting the algorithm
285+ - Learning type
286+ - Result type
287+ - Complexity
288+ -Basic vs Enhanced
289+ 290+ iv. Training the model
291+ - Split data - 70% / 30%;
292+ - Trained with training data;
293+ 294+ v. Testing the model
295+ - Evaluated prediction;
296+ - Selected Logistic Regression
297+ - Achieved success
298+ - Used Cross Validation version for better general performance;
299+ -------------------------------------------------------------------------------------------------------------------------------
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