- Lab 1 (9/11/2017) Basic Python/Anaconda Package : PDF
- Lab 2 (16/11/2017) Coin Toss Simulation : PDF
- Lab 3 (23/11/2017) Coin Toss Simulation pt.2 : PDF
- Lab 4 (30/11/2017) Pandas Basic : PDF
- Lab 5 (07/12/2017) Exploring Spam Data : PDF
- Lab 6 (11/01/2018) NLP with TextBlob : PDF
- Lab 7 (18/01/2018) Jupyter Notebook and Naive Bayes Intro : Link to Colab Notebook
Lab Materials on Spam Filtering are taken from https://radimrehurek.com/data_science_python/
- Visualizing Conditional Probability : http://setosa.io/conditional/
- Practical Data Science in Python : https://radimrehurek.com/data_science_python/
- SMS Spam Collection : https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection