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

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