Forecasting Sales with Time Series LightGBM Random Forest

Files Included :

1 - Introduction to the Course.mp4 (62.96 MB)
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2 - Table of Contents.mp4 (26.41 MB)
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3 - Whom This Course is Intended for.mp4 (17.89 MB)
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13 - Customer Segmentation Analysis.mp4 (105.83 MB)
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14 - Analyzing Order Fulfilment Efficiency.mp4 (60.62 MB)
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15 - Analyzing Sales Performance Trend.mp4 (90.29 MB)
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16 - Forecasting Sales with ARIMA.mp4 (140.49 MB)
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17 - Forecasting Sales with SARIMA.mp4 (80.88 MB)
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18 - Forecasting Sales with LightGBM.mp4 (192.55 MB)
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19 - Forecasting Sales with Random Forest.mp4 (58.18 MB)
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20 - Forecasting Sales with LSTM.mp4 (180.87 MB)
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21 - Calculating Mean Absolute Error Conducting Residual Analysis.mp4 (47.19 MB)
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22 - Conclusion Summary.mp4 (25.74 MB)
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4 - Tools IDE and Datasets.mp4 (135.37 MB)
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5 - Introduction to Sales Forecasting.mp4 (19.39 MB)
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6 - How Time Series Forecasting Model Works.mp4 (117.55 MB)
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7 - Factors That Can Contribute to Sales Performance.mp4 (22.89 MB)
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8 - Setting Up Google Colab IDE.mp4 (30.79 MB)
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9 - Finding Downloading Sales Report Dataset From Kaggle.mp4 (52.28 MB)
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10 - Uploading Sales Report Dataset to Google Colab.mp4 (8.15 MB)
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11 - Quick Overview of Sales Report Dataset.mp4 (52.89 MB)
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12 - Cleaning Dataset by Removing Missing Values Duplicates.mp4 (20.17 MB)
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