Click on each picture to find out about it on X. Why should you split your datasetBox-Jenkins methodologyTime biasWhen not to use Prophet?Time Series models classificationForecast Interval Coverage as a Performance MetricTest for Granger causalityMinMax ScalingAdvantages of ProphetSelect your Time Series modelTime Series with XGBoostSimple Exponential SmoothingTriple Exponential SmoothingAdvantages of RNNsIntroduction to RNNsSources of Missing dataARIMA modelsFeature selectionNature of missing dataHandle Missing ValuesGranger causalitySteps in DS projectImbalanced dataDouble Exponential SmoothingBest scenarios for ProphetFeature scalingWhat kind of Time Series model is Prophet?Prediction Direction AccuracyArchitecture of RNNsSMOTE for imbalanced dataRecurrent Neural NetworksForecast BiasReframe Time Series data into Supervised Learning Clean your time series dataModel doesn't behave well with real dataMissing data is a problemExample of nature of missing dataHow to address imbalanced data?2D graphs . . . . . . . . . . . . . . . . Follow me on X