Click on each picture to find out about it on X. Why should you split your datasetNature of missing data2D graphsBest scenarios for ProphetTime Series models classificationRecurrent Neural NetworksTime biasSources of Missing dataHow to address imbalanced data?Select your Time Series modelExample of nature of missing dataModel doesn't behave well with real dataAdvantages of RNNsDouble Exponential SmoothingAdvantages of ProphetWhat kind of Time Series model is Prophet?Simple Exponential SmoothingBox-Jenkins methodologyImbalanced dataTest for Granger causalityForecast BiasTriple Exponential SmoothingWhen not to use Prophet?Clean your time series dataHandle Missing ValuesGranger causalityFeature scalingSteps in DS projectPrediction Direction AccuracyTime Series with XGBoostMinMax ScalingArchitecture of RNNsSMOTE for imbalanced dataFeature selectionMissing data is a problemIntroduction to RNNsARIMA modelsForecast Interval Coverage as a Performance MetricReframe Time Series data into Supervised Learning . . . . . . . . . . . . . . . . Follow me on X