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

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