3
votes
Beginner basic clustering model and one-hot encoding?
Once you are done fitting the model, you can label each of your records based on the cluster.
df['cluster_labels'] = kmeans.labels_
For ease of analysis, you can ...
- 188
2
votes
How to deal with high data volumes? (Tools, techniques, concepts, etc.)
The fastest data structures in Python are sets.
They are low-level structures, and you can manage your data quickly.
To avoid using too much RAM, you can build them progressively with a CSV with a ...
- 4,589
1
vote
How to deal with high data volumes? (Tools, techniques, concepts, etc.)
As it was mentioned, you can use your memory several times more efficiently using other tools (numpy, Redis, C++, R / data.table, etc), but after that you will still hit your laptop RAM limit and then ...
- 1,084
1
vote
Outlier filtering from time series data
If you are looking to identify outliers in time series data with seasonal patterns, you can consider using the seasonal decomposition of time series (STL) method. STL decomposes a time series into ...
- 2,879
Only top scored, non community-wiki answers of a minimum length are eligible