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Commit b8d140d

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Update Introduction to Machine Learning
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‎Introduction to Machine Learning

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- Non-ensemble
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- Basic
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4. Training the Model
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---------------------
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* Machine Learning Training : Letting specific data teach a Machine Learning algorithm to create a specific prediction model;
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* Training Overview
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i. Prepared data - split - 70% Training data; 30% test data;
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ii. Training data - algorithm (train model) - model;
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iii. Test data - model - forecast output;
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* Selecting Training Features
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------------------------------
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Want minimum features (columns)
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* Selected features
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i. Glucose onc;
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ii. Blood pressure
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iii. skin thickness;
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iv. insulin level;
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v. Body Mass Index;
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vi. Diabetes Predisposition;
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vii. Age;
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Scikit-

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