Click on each picture to find out about it on X. What kind of Time Series model is Prophet?Architecture of RNNsReframe Time Series data into Supervised Learning How to address imbalanced data?Time biasClean your time series dataBest scenarios for ProphetHandle Missing ValuesTime Series models classificationNature of missing dataTriple Exponential SmoothingModel doesn't behave well with real dataSelect your Time Series modelWhen not to use Prophet?Steps in DS projectAdvantages of ProphetForecast BiasTime Series with XGBoostFeature scaling2D graphsSources of Missing dataForecast Interval Coverage as a Performance MetricDouble Exponential SmoothingIntroduction to RNNsFeature selectionWhy should you split your datasetImbalanced dataGranger causalityAdvantages of RNNsExample of nature of missing dataBox-Jenkins methodologySimple Exponential SmoothingMissing data is a problemRecurrent Neural NetworksTest for Granger causalityARIMA modelsMinMax ScalingSMOTE for imbalanced dataPrediction Direction Accuracy . . . . . . . . . . . . . . . . Follow me on X