This repository contains two python files:
- airquality.py
- orgate.py
You will find the questions and resources in each of them. You can use python 2.7 or python 3.
Required libraries:
- pandas>=0.20.3
- scikit-learn>=0.18
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Download the dataset from https://archive.ics.uci.edu/ml/datasets/Air+quality and save the .csv file into /data
-
Load the dataset into pandas data frame
-
Create a timeseries data frame
-
Remove all the values of NO2(GT) greater than 100 from march 2005 till june 2005
- Implement logical OR gate using neural network and scikit learn library
- Reading:
- Note: You should create your own training and test datasets