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Air Quality Index
- Reads information in Korean format, and undergoes processing steps (KOR-ENG translation, contextual correction)
- packages: googletrans, bs4, urllib
- Command (with arguments)
python AQI_crawler.py -c seoul -n kr python AQI_crawler.py -c usa -n newyork ** -c: city, -n: country ** the website path flow is a bit inconsistent across cities.
-
Google Search
- Perceptron neural network with backpropgation (1-stage)
- package: numpy
- console output
Random synaptic weights: [[-0.16595599] [ 0.44064899] [-0.99977125]] synaptic weights after training: [[ 9.67299303] [-0.2078435 ] [-4.62963669]] Input 1: 1 Input 2: 2 Input 3: 3 ('New situation: input data = ', '1', '2', '3') Output data: [0.00964519] Random starting synaptic weights: [[-0.16595599] [ 0.44064899] [-0.99977125]] Synaptic weights after training [[10.38040701] [-0.20641179] [-4.98452047]] outputs after training: [[0.00679672] [0.99445583] [0.99548516] [0.00553614]]