Training the Machine Learning Model

 Training the Machine:

To design a Machine learning Model following steps are important

                        1. Collection of data 

                        2. Cleaning of Data    

                        3. Divide data into Training and Testing

                        4. Model Building

                                    1. Training of Network

                                    2. Testing of Network

5.      Validation of Neural Network

Figure 1.  Steps to Train the Machine

For model building Choice of Algorithm is very important. Machine learning models are used either for Regression (to predict the continuous value) or classification (divide data into group)

 Table shows use of particular machine learning algorithm

Algorithm

    Use

Ø  Linear Regression

Regression

Ø  Logistic Regression

Classification

Ø  Naïve Bayes

Classification

Ø  K-Nearest Neighbors

Classification

Ø  Decision Tree

Classification, Regression

Ø  Random Forest

Classification, Regression

Ø  Support Vector Machine

Classification, Regression

Ø  ANN

Classification, Regression

Ø  Deep Learning

Classification, Regression

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