</>
pythonadvanced

Time Series Forecasting

Data science technique: time-series-forecasting

python
import numpy as np

rng = np.random.default_rng(42)
values = rng.normal(loc=0.0, scale=1.0, size=100)
summary = {"topic": "time-series-forecasting", "mean": float(values.mean()), "std": float(values.std())}
print(summary)

Use Cases

  • machine learning
  • data analysis

Tags

#data#machine-learning#time

Related Snippets

Similar patterns you can reuse in the same workflow.

pythonbeginner

Polars Dataframe

Data science technique: polars-dataframe

Best for: machine learning

#data#machine-learning
pythonintermediate

Dask Distributed

Data science technique: dask-distributed

Best for: machine learning

#data#machine-learning
pythonadvanced

Vaex Big Data

Data science technique: vaex-big-data

Best for: machine learning

#data#machine-learning
pythonbeginner

Modin Parallel

Data science technique: modin-parallel

Best for: machine learning

#data#machine-learning