As time -series feature extraction have played an important role in analyzing trends, predicting future events and anomalies, it becomes important for data scientists to get acquainted with different libraries. One such library is tsfeatures
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With the covid-19 coming in, not only the world economy has suffered, every sector say it political, social, religious of most countries have been affected. Can we mitigate this affect by predicting it its impact early?
With the covid-19 coming in, not only the world economy has suffered, every sector say it political, social, religious of most countries have been affected. Can we mitigate this affect by predicting it its impact early?
Fatal heart, brain monitoring is important for the mother and the baby as it helps to understand the baby’s growth.Lets understand how we discover anomalies from cyclic patterns
Motivation A time-series represents the sequence of a variable recorded with time over regular intervals of time. There are various applications of time series like Stock Market Prediction (with daily and hourly data), Annual Sales/Revenue, Seasonal Temperatures changes, monthly Cloud Infrastructure cost and second level prediction of Python has 2 libraries StatsModels and Pyramid that helps to build forecasting models and predict values at a future time. As both these libraries provide forecasts for similar […]
