Linear Regression with Synthetic Data.ipynb - Colaboratory

colab.research.google.com · 4 words · saved by 1 readers

Machine Learning Crash Course uses Colaboratories (Colabs) for all programming exercises. Colab is Google's implementation of Jupyter Notebook. Like all Jupyter Notebooks, a Colab consists of two kinds of components: You read the text cells and run the code cells. You must run code cells in order. In other words, you may only run a code cell once all the code cells preceding it have already been run. To run a code cell: Alternatively, you may invoke Runtime->Run all. Note, though, that some of the code cells will fail because not all the coding is complete. (You'll complete the coding as part of the exercise.) We've hidden the code in code cells that don't advance the learning objectives. For example, we've hidden the code that plots graphs. However, you must still run code cells containing hidden code. You'll know that the code is hidden because you'll see a title (for example, "Load the functions that build and train a model") without seeing the code. To view the hidden code, just do

Google Colab Sign in

Linear Regression with Synthetic Data.ipynb - Colaboratory

related reading