Time stamps (WIP) @00:00 - Introduction @02:21 - Agenda @04:51 - Github Repository @05:58 - Intro to sklearn @11:42 - Intro to ML with Time Series @18:25 - Creating a unified framework @21:15 - Forecasting
52:38 - Univariate forecasting with exogenous variables 56:20 - Multivariate forecasting 1:04:20 - Time series classification 01:14:20 - Time series regression 01:16:40 - Multivariate time series classification
"Thank you for the detailed explanation. However, I would like to assess the performance of my model on the training data. Specifically, I want to plot the model's response against the actual training data. Could you please provide guidance on how to accomplish this using the sktime library?"
You run a mean squared error on a classifier´s predictions??? This makes no sense. You should have used accuracy or a confusion table instead. This is basic.
Time stamps (WIP)
@00:00 - Introduction
@02:21 - Agenda
@04:51 - Github Repository
@05:58 - Intro to sklearn
@11:42 - Intro to ML with Time Series
@18:25 - Creating a unified framework
@21:15 - Forecasting
52:38 - Univariate forecasting with exogenous variables
56:20 - Multivariate forecasting
1:04:20 - Time series classification
01:14:20 - Time series regression
01:16:40 - Multivariate time series classification
01:14:20 Time series regression
@1:04:20 - Classification
"Thank you for the detailed explanation. However, I would like to assess the performance of my model on the training data. Specifically, I want to plot the model's response against the actual training data. Could you please provide guidance on how to accomplish this using the sktime library?"
Is there some simple way for me to turn a normal csv file (ex Date Open High Low Close) to the required format for multivariate timeseries?
讲得很好！
yes without shifting the target...
hi, i`m Vinicius, I would apreciate a personal suport to sktime aplication, is there someone
You run a mean squared error on a classifier´s predictions??? This makes no sense. You should have used accuracy or a confusion table instead. This is basic.