Description: code walkthroughs that are used in my personal data science blog. The blog looks to bring academic research to the DS industry. If you have any comments/questions/ideas, feel free to reach out here. Also use any code here if you'd like
Date: 2021-2022
- 22_time_series_cleaning_and_clustering.py: walkthrough of how to perform feature based clustering on time series data. There are also resources linked in the file for distance-based clustering using DTW.
- 28_prophet_vs_neural_prophet.py: comparison between Facebook's Prohpet and NeuralProphet packages on energy consumption data in California.
- 32_freaai_potential_implementation.py: potential implementation of IBM's FreaAI for finding weak data slices for a binary classifier. This project has lots of potential, but the code is not very usable as of now.