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URL:https://www.learndesk.us/class/6435635411812352/making-numerical-predictions-for-time-series-data-part-1-of-3?ref=outlook-calendar
SUMMARY:Making Numerical Predictions for Time Series Data: Part 1 of 3
DTSTART;TZID=America/Los_Angeles:20260502T190000
DTEND;TZID=America/Los_Angeles:20260502T200000
LOCATION:https://www.learndesk.us/class/6435635411812352/making-numerical-predictions-for-time-series-data-part-1-of-3?ref=outlook-calendar
DESCRIPTION: 
Predictive analytics is the branch of advanced analytics, which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about the future.
One class of Predictive Analytics is to make a prediction on time series data. Studying historical data, collected over a period of time, can help in building models using which the future can be predicted. For example, from historical data on temperatures in a city, we can make decent predictions of what the temperature could be in a future date. Or for that matter, from data collected over a reasonably long period of time regarding various lifestyle aspects of a Diabetic patient, we can predict what should be the volume of Insulin to inject on a given date in the future. One example to consider from the Business world could be to predict the Volume of In-Roamers in a...

https://www.learndesk.us/class/6435635411812352/making-numerical-predictions-for-time-series-data-part-1-of-3?ref=outlook-calendar
STATUS:CONFIRMED
SEQUENCE:3
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