05:02
What is the Local Outlier Factor
04:58
What are k Nearest Neighbors
04:58
What are Mahalanobis Distances
05:05
What are Z scores
04:55
What is Benford's Law
04:53
How are Time Series Models Evaluated
05:10
What are ARCH & GARCH Models
04:56
What are Bayesian Autoregressive Models
05:11
What is the Vector Autoregressive (VAR) Model
04:41
What is the Prophet Model
04:47
What are Neural Network Time Series Models
04:52
What are Seasonal ARIMA Models
09:20
Learning from Mistakes - Fail Fast
05:07
What are ARIMA Models
05:01
What are Moving Average (MA) Models
05:01
What are Autoregressive (AR) Models
05:01
What is Stationarity
04:59
What are Exponential Smoothing Models
04:54
What is Time Series Decomposition
05:01
What is Time Series Data
47:30
Executives and Data Scientists Webinar
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Data is impacting large portions or our lives! Data science and analytics try to help sift through this data to help drive decisions and measure impacts. This channel tries to explain techniques for data science in simple terms so everyone can understand what is happening as well as help discuss overall impacts data has on our lives.
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