|M. Pawan Kumar|
Project Notes: Optimization Methods for Linear Regression
Please use the simplified version of the California Housing Data Set. Use the first 8 features as the input, and the final feature (median house price) as the target output. The entire data set consists of approximately 20,000 samples. You may wish to use a random subset of the data (say 500 samples) when developing your code. Once you're confident that your code is bug-free, use the entire data set to run your final set of experiments.
Note that the following modifications have been made to the original data set.
Any errors found in the notes/code will be discussed here.