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

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