freeCodeCamp project

1. import the required libraries.

2. download the data and set key variables.

3. create data(train, validation and test) generator use ImageDataGenerator

   ImageDataGenerator to read and decode the images and convert them into floating point tensors.

   shuffle=False

   test_dir subdirectory or flow_from_directory expects a directory with a subdirectory by class.

4. create a model use the Keras Sequential model.

5. use fit method to train and validate the network.

6. test the model.

1. load, extract data and import csv data into dataframes.
2. handle and clean data(remove and drop dumplicates).
3. merge and transform date to matrix format(KNN input param format).
4. train the KNN model
5. Query and get recommand data.
6. Test.

1. Covert categorical data to numbers.
2. Spilt train and test data.
3. Train the model and ajust the parameters.
4. test and evaluate the model.