diff --git a/BHPD/02-DNN-Regression-Premium.ipynb b/BHPD/02-DNN-Regression-Premium.ipynb index 2aff5c5a448e8f9ff353fb64dcd1911981dd2d6e..f515933d133e8c88a3421ea43e0bb46aadda27a7 100644 --- a/BHPD/02-DNN-Regression-Premium.ipynb +++ b/BHPD/02-DNN-Regression-Premium.ipynb @@ -15,8 +15,22 @@ " - Understanding the principle and the architecture of a regression with a dense neural network with backup and restore of the trained model. \n", "\n", "The **[Boston Housing Dataset](https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html)** consists of price of houses in various places in Boston. \n", - "Alongside with price, the dataset also provide information such as Crime, areas of non-retail business in the town, \n", - "age of people who own the house and many other attributes...\n", + "Alongside with price, the dataset also provide these information :\n", + "\n", + " - CRIM: This is the per capita crime rate by town\n", + " - ZN: This is the proportion of residential land zoned for lots larger than 25,000 sq.ft\n", + " - INDUS: This is the proportion of non-retail business acres per town\n", + " - CHAS: This is the Charles River dummy variable (this is equal to 1 if tract bounds river; 0 otherwise)\n", + " - NOX: This is the nitric oxides concentration (parts per 10 million)\n", + " - RM: This is the average number of rooms per dwelling\n", + " - AGE: This is the proportion of owner-occupied units built prior to 1940\n", + " - DIS: This is the weighted distances to five Boston employment centers\n", + " - RAD: This is the index of accessibility to radial highways\n", + " - TAX: This is the full-value property-tax rate per 10,000 dollars\n", + " - PTRATIO: This is the pupil-teacher ratio by town\n", + " - B: This is calculated as 1000(Bk — 0.63)^2, where Bk is the proportion of people of African American descent by town\n", + " - LSTAT: This is the percentage lower status of the population\n", + " - MEDV: This is the median value of owner-occupied homes in 1000 dollars\n", "\n", "## What we're going to do :\n", "\n",