Click on each picture to find out about it on X. Model doesn't behave well with real dataTime Series with XGBoostFeature scalingARIMA modelsForecast Interval Coverage as a Performance MetricSources of Missing dataExample of nature of missing dataAdvantages of RNNsMissing data is a problemSimple Exponential SmoothingForecast BiasSMOTE for imbalanced dataPrediction Direction AccuracyHandle Missing ValuesTime biasSelect your Time Series modelReframe Time Series data into Supervised Learning Test for Granger causalityIntroduction to RNNsTime Series models classificationHow to address imbalanced data?Clean your time series data2D graphsAdvantages of ProphetBox-Jenkins methodologyTriple Exponential SmoothingGranger causalityRecurrent Neural NetworksFeature selectionBest scenarios for ProphetSteps in DS projectMinMax ScalingWhy should you split your datasetArchitecture of RNNsWhen not to use Prophet?Double Exponential SmoothingWhat kind of Time Series model is Prophet?Imbalanced dataNature of missing data . . . . . . . . . . . . . . . . Follow me on X