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What kind of Time Series model is Prophet?
What kind of Time Series model is Prophet?
Forecast Bias
Forecast Bias
Feature scaling
Feature scaling
ARIMA models
ARIMA models
Advantages of Prophet
Advantages of Prophet
Box-Jenkins methodology
Box-Jenkins methodology
Sources of Missing data
Sources of Missing data
Advantages of RNNs
Advantages of RNNs
Handle Missing Values
Handle Missing Values
Recurrent Neural Networks
Recurrent Neural Networks
Missing data is a problem
Missing data is a problem
Test for Granger causality
Test for Granger causality
Steps in DS project
Steps in DS project
Simple Exponential Smoothing
Simple Exponential Smoothing
Imbalanced data
Imbalanced data
Clean your time series data
Clean your time series data
Time Series with XGBoost
Time Series with XGBoost
Forecast Interval Coverage as a Performance Metric
Forecast Interval Coverage as a Performance Metric
MinMax Scaling
MinMax Scaling
Triple Exponential Smoothing
Triple Exponential Smoothing
Architecture of RNNs
Architecture of RNNs
Time bias
Time bias
Introduction to RNNs
Introduction to RNNs
Double Exponential Smoothing
Double Exponential Smoothing
Why should you split your dataset
Why should you split your dataset
Prediction Direction Accuracy
Prediction Direction Accuracy
SMOTE for imbalanced data
SMOTE for imbalanced data
Best scenarios for Prophet
Best scenarios for Prophet
Reframe Time Series data into Supervised Learning
Reframe Time Series data into Supervised Learning
Time Series models classification
Time Series models classification
2D graphs
2D graphs
Example of nature of missing data
Example of nature of missing data
When not to use Prophet?
When not to use Prophet?
Granger causality
Granger causality
Nature of missing data
Nature of missing data
Feature selection
Feature selection
Model doesn't behave well with real data
Model doesn't behave well with real data
Select your Time Series model
Select your Time Series model
How to address imbalanced data?
How to address imbalanced data?

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