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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Time Series
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?
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 […]
Introduction The General Elections in India are scheduled to be held between April and May to constitute the 17th Lok Sabha. The nation is eagerly following news channels and newspapers to understand who will win the majority. THe numbers and data being generated around this is through the roof. What an intriguing project to take up as a data scientist! You can analyze and predict public sentiments towards prominent parties using a variety of sources […]
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