Lambda in Python and Time Series | Dataford Interview Questions

What is lambda in Python, and explain time series in machine learning.

Implement this concept by writing analyze_time_series(values, window). The input is a non-empty chronological list of numbers and a positive rolling-window size. Return one record per observation containing the original value, its change from the previous observation, and the average of the current rolling window. The first observation has a null change. Use a lambda for at least one calculation. The rolling average may use fewer than window observations at the beginning of the series.

Constraints

1 <= len(values) <= 1000
1 <= window <= len(values)
-10^6 <= values[i] <= 10^6
Values are ordered chronologically
The output contains one record for every input observation

Function Signature

def analyze_time_series(values, window):

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Problem

What is lambda in Python, and explain time series in machine learning.

Constraints

1 <= len(values) <= 1000
1 <= window <= len(values)
-10^6 <= values[i] <= 10^6
Values are ordered chronologically
The output contains one record for every input observation

Function Signature

def analyze_time_series(values, window):

Your question is Lambda in Python and Time Series. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.