2110446 Data Science Course at Chula 2022

Short links for exercises:

Week1: Intro to Numpy, Pandas

1. Numpy: https://colab.research.google.com/github/kaopanboonyuen/2110446_DataScience_2021s2/blob/main/code/week1_numpy_pandas/Numpy.ipynb

2. Pandas: https://colab.research.google.com/github/kaopanboonyuen/2110446_DataScience_2021s2/blob/main/code/week1_numpy_pandas/Pandas.ipynb

3. Pandas with Youtube stat data: https://colab.research.google.com/github/kaopanboonyuen/2110446_DataScience_2021s2/blob/main/code/week1_numpy_pandas/Pandas_(Data_Set_Trending_YouTube_Video_Statistics).ipynb

4. (Advanced) Pandas with Youtube stat data: https://colab.research.google.com/github/kaopanboonyuen/2110446_DataScience_2021s2/blob/main/code/week1_numpy_pandas/Advanced_Pandas_(Data_Set_Trending_YouTube_Video_Statistics).ipynb

5. (Assignment) Pandas with Youtube stat data: https://colab.research.google.com/github/kaopanboonyuen/2110446_DataScience_2021s2/blob/main/code/week1_numpy_pandas/PandasAssignment.ipynb

Week2: Statistical Analysis

Week3: Data Preparation

Week4: Data Analytics: Traditional ML

Week5: Data Analytics: Intro to Deep Learning

Week6: Time series forecasting & Guest speaker (PM2.5)

** Updated python codes/notebooks will be posted here shortly before each lecture.