Data Science Test

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

airquality.py

1. Download the dataset from https://archive.ics.uci.edu/ml/datasets/Air+quality and save the .csv file into /data

2. Load the dataset into pandas data frame

3. Create a timeseries data frame

4. Remove all the values of NO2(GT) greater than 100 from march 2005 till june 2005

orgate.py

5. Implement logical OR gate using neural network and scikit learn library

• Reading:
  • http://www.mind.ilstu.edu/curriculum/artificial_neural_net/neural_nets_for_logical_functions.php
  • http://www.cs.bham.ac.uk/~jxb/NN/l3.pdf
• Note: You should create your own training and test datasets