Linear Regression and Gradient Decent method to learn model of Linear Regression.
Linear Regression To design 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 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