it is having simple regression fuction which has made using given tranning data for predicting the value form using test data samples
Problem Statement You are given a dataset with 5 features and a target value (continuous). You goal is to predict the most likely target value for a new sample with 5 features using locally weighted linear regression. For simplicity, use most similar 25 training samples (along with their weights) while fitting the locally weighted regression curve. Purpose of this Assignment This assignment is intended to test your knowledge on the following three things:
- Regression in general and locally weighted regression in particular.
- Optimization algorithm (such as gradient descent) for model training
- K-nearest neighbor on n-dimensional space. Data description File name: eda-18-ass1-data.txt The file has 7 columns. The first column is the sample id, the next 5 columns are the feature values and the last column is the target attribute. Each line represent one sample.