A repository to keep track of coding exercises in tensor-flow, scikitlearn, pandas, and matplot lib exercises from the coursera course and the book.
An end to end machine learning problem.
- California Housing Data This explores the problem of predicting housing prices from the given data set. Since we are predicting values this is a Regression problem. This is kind of a brief introduction to the whole process of data cleaning, processing, pipelines to model evaluation, ensemble, fine tuning hyper-parameters to finally testing and deploying the model.
We will be using the MNIST dataset, which is a set of 70,000 small images of digits handwritten by high school students and employees of the US Census Bureau for a Classification problem.