Udemy Forecasting Models and Time Series for Business in Python

Files Included :

001 Course Introduction.mp4 (78.16 MB)
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003 Course Material.mp4 (43.64 MB)
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001 Game Plan.mp4 (17.62 MB)
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002 Why Forecasting.mp4 (15.4 MB)
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003 Time Series Data and Case Study Briefing.mp4 (18.52 MB)
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004 Python - Set Working Directory.mp4 (17.1 MB)
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005 Python - Importing Libraries.mp4 (5.1 MB)
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006 Python - Loading Data.mp4 (26.67 MB)
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007 Python - Forming Data Set.mp4 (50.69 MB)
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008 Python - Renaming Dependent Variable.mp4 (13.53 MB)
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009 Python - Index Frequency.mp4 (14.4 MB)
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010 Python - Visualization.mp4 (19.79 MB)
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001 Game Plan.mp4 (22.87 MB)
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002 Seasonal Decomposition.mp4 (17.97 MB)
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003 Prepare Script.mp4 (28.67 MB)
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004 Multiplicative and Additive seasonality.mp4 (15.55 MB)
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005 Python - Seasonal Decomposition.mp4 (45.47 MB)
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006 Error Modelling and Stock Data.mp4 (15.54 MB)
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007 Python - Seasonality graphs.mp4 (24.13 MB)
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001 Game Plan.mp4 (15.91 MB)
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002 Training and Test Set.mp4 (7.87 MB)
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003 Python - Prepare Script.mp4 (20.48 MB)
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004 Python - Training and Test Set.mp4 (20.85 MB)
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005 Exponential Smoothing and Holt-Winters.mp4 (12.56 MB)
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006 Python - Holt-Winters.mp4 (26.51 MB)
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007 Python - Predictions.mp4 (14.74 MB)
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008 Python - Visualization.mp4 (21.62 MB)
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009 Assessing Time Series Models.mp4 (16.13 MB)
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010 Python - MAE and RSME.mp4 (23.78 MB)
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011 Python - MAPE function.mp4 (17.79 MB)
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012 Python - Exporting Forecasts.mp4 (15.66 MB)
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013 Python - Preparing Master Script.mp4 (34.47 MB)
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014 Pros, Cons and Challenge.mp4 (41.41 MB)
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015 Python - Challenge Solutions.mp4 (61.79 MB)
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001 Game Plan.mp4 (19.28 MB)
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002 TBATS introduction.mp4 (6.1 MB)
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003 Python - Prepare Script and Install Package.mp4 (22.07 MB)
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004 Autoregressive and Moving Average components.mp4 (12.49 MB)
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005 Trigonometric Seasonality and Box Cox.mp4 (10.99 MB)
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006 Python - TBATS model.mp4 (19.13 MB)
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007 Python - Predictions and Plotting.mp4 (24.92 MB)
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008 Python - Accuracy Assessment and Exporting.mp4 (15.71 MB)
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009 Pros, Cons and Challenge.mp4 (37.57 MB)
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010 Python - Challenge Solutions.mp4 (62.47 MB)
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001 Game Plan.mp4 (14.19 MB)
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002 ARIMA and ARMA recap.mp4 (9.68 MB)
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003 Python - Prepare Script.mp4 (18.72 MB)
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004 Stationarity.mp4 (17.94 MB)
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005 Python - Augmented Dickey Fuller Test.mp4 (17.61 MB)
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006 Exogenous Variables.mp4 (10.47 MB)
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007 Python - Isolating Regressors.mp4 (14.32 MB)
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008 Optimizing factors in ARIMA and SARIMA.mp4 (12.29 MB)
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009 AIC and BIC.mp4 (8.84 MB)
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010 Python - SARIMAX model.mp4 (34.71 MB)
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011 Python - Model Summary and Predictions.mp4 (29.39 MB)
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012 Python - Visualization, Assessment and Exporting.mp4 (25.02 MB)
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013 Pros, Cons and Challenge.mp4 (25.95 MB)
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014 Python - Challenge Solutions.mp4 (106.31 MB)
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001 Game Plan.mp4 (12.59 MB)
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002 Structural Time Series.mp4 (6.07 MB)
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003 Python - Prepare Script.mp4 (19.39 MB)
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004 TensorFlow Structural Time Series.mp4 (4.01 MB)
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005 Python - Regressors.mp4 (32.12 MB)
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006 Python - Isolate Dependent Variable.mp4 (8.8 MB)
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007 Python - Weekly Seasonality.mp4 (27.43 MB)
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008 Python - Monthly Seasonality.mp4 (29.11 MB)
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009 Python - Trend and Autoregressive Terms.mp4 (20.07 MB)
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010 Python - TensorFlow Model.mp4 (28.62 MB)
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011 Monte Carlo and Bayes Theorem.mp4 (14.69 MB)
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012 Python - Fitting Model.mp4 (30.23 MB)
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013 Python - Forecasting.mp4 (21.17 MB)
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014 Python - Formatting Predictions.mp4 (21.14 MB)
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015 Python - Visualization, Assessment and Exporting.mp4 (21.09 MB)
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016 Pros, Cons and Challenge.mp4 (27.69 MB)
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017 Python - Challenge Solutions.mp4 (142.88 MB)
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001 Game Plan.mp4 (21.4 MB)
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002 Facebook Prophet Introduction.mp4 (15.23 MB)
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003 Python - Importing Libraries and Data.mp4 (23.26 MB)
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004 Python - Transforming Date Variable.mp4 (12.2 MB)
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005 Python - Renaming Variables.mp4 (13.96 MB)
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006 Dynamic Holidays.mp4 (6.1 MB)
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007 Python - holidays.mp4 (28.55 MB)
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008 Python - Removing Variable and Training Set.mp4 (12.83 MB)
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009 Facebook Prophet Components.mp4 (5.79 MB)
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010 Python - Prophet model.mp4 (55.99 MB)
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011 Python - Future Dataframe.mp4 (32.3 MB)
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012 Python - Forecasting.mp4 (26.08 MB)
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013 Python - Visualization.mp4 (31.93 MB)
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014 Python - Model Assessment.mp4 (12.53 MB)
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015 Cross-Validation.mp4 (3.26 MB)
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016 Python - Cross-Validation.mp4 (15.95 MB)
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017 Python - Cross-Validation results.mp4 (35.46 MB)
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018 Parameters to be tuned.mp4 (2.8 MB)
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019 Python - Parameter Grid.mp4 (28.74 MB)
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020 Python - Hyperparameter Tuning.mp4 (75.34 MB)
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021 Python - Getting Best Parameters.mp4 (17.6 MB)
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022 Python - Final Prophet Model.mp4 (58.61 MB)
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023 Pros, Cons and Challenge.mp4 (57.66 MB)
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024 Python - Challenge Solutions.mp4 (116.38 MB)
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001 Game Plan.mp4 (13.77 MB)
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002 Prophet + XGBoost step by step.mp4 (4.27 MB)
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003 Python - Prepare Script.mp4 (50.25 MB)
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004 XGBoost.mp4 (25.73 MB)
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005 Python - Extracting Prophet Variables.mp4 (45.16 MB)
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006 Python - Training and Test Set.mp4 (12.72 MB)
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007 Python - Isolate X and Y.mp4 (14.39 MB)
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008 XGBoost Matrices.mp4 (11.51 MB)
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009 XGBoost Quirks and Parameters.mp4 (12.27 MB)
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010 Python - Setting Parameters.mp4 (18.89 MB)
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011 Python - XGBoost Model.mp4 (30.54 MB)
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012 Python - Forecasting.mp4 (17.14 MB)
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013 Python - Visualization.mp4 (21.6 MB)
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014 Python - Assessment and Export.mp4 (15.23 MB)
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015 Pros, Cons and Challenge.mp4 (43.16 MB)
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016 Python - Challenge Solutions.mp4 (105.66 MB)
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001 Game Plan.mp4 (17.25 MB)
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002 Why Ensemble.mp4 (14.33 MB)
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003 Python - Prepare Script.mp4 (38.23 MB)
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004 Python - Loading Predictions.mp4 (44.63 MB)
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005 Python - Ensemble Forecast.mp4 (18.25 MB)
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006 Python - Visualization and Assessment.mp4 (41 MB)
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007 Pros and Cons.mp4 (4.32 MB)
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