Please follow the attached document. Please submit your notebook file or Share a
Please follow the attached document. Please submit your notebook file or Share a link.聽
1) Submit your notebook file, on Google Colab click on File (menu), then Download .ipynb, Upload the file
2) Submit your link,聽on Google Colab click on Share (on the top), then under Get Link, Change the Access to View Only, Copy Link, Paste the link here.
Also, please submit your PowerPoint presentation file here.
Project 8: Build A Machine Learning Regression
Model with Python and TensorFlow
Due Date:
Step 1: Select a database of your choice
Y (Dependent variable)
Xs (Predictors)
Dataset
Address
charges
Numerical inputs
insurance.csv
http://drnam.org/pythonfiles/insurance.csv
Life
expectancy
Meaningful predictors
LifeExpectancy.csv
http://drnam.org/pythonfiles/LifeExpectancy.csv
Price of the house
Other factors
Realestate.csv
http://drnam.org/pythonfiles/Realestate.csv
Profit
Other factors
Startups.csv
http://drnam.org/pythonfiles/Startups.csv
NOx
Other factors
traffic.csv
http://drnam.org/pythonfiles/traffic.csv
PM2.5
Other factors
traffic.csv
http://drnam.org/pythonfiles/traffic.csv
Quality
Other factors
winquality.csv
http://drnam.org/pythonfiles/winquality.csv
Step 2: Get the data
Step 3: Clean the data
Step 4: Split the data
into train and test
Step 5: Inspect the
data
Step 6: Split features
from labels
Step 7: Create
normalization layer
Step 8: Linear
regression
路聽聽聽聽聽 One Variable
路聽聽聽聽聽 Multiple inputs
Step 9: A DNN
regression
路聽聽聽聽聽 One variable
路聽聽聽聽聽 Full model
Step 10: Make
predictions
Help: Please follow
the tutorial at https://www.tensorflow.org/tutorials/keras/regression