Supply Chain Analysis with Machine Learning & Neural Network

سرفصل های دوره

Learn how to analyse supply chain data using LightGBM and Recurrent Neural Network

1. Introduction

1. Introduction to the Course

2.1 Supply Chain Data Analysis.pptx

2. Table of Contents

3. Whom This Course is Intended for

2. Tools, IDE, and Datasets

1. Tools, IDE, and Datasets

3. Introduction to Supply Chain Analytics

1. Introduction to Supply Chain Analytics

4. Cost Optimization Using TCO

1.1 costoptimizationtco.zip

1. Cost Optimization Using TCO

5. Inventory & Order Quantity Optimization Using EOQ

1.1 inventoryoptimizationeoq.zip

1. Inventory & Order Quantity Optimization Using EOQ

6. Factors That Can Cause Supply Chain Disruptions

1. Factors That Can Cause Supply Chain Disruptions

7. Setting Up Google Colab IDE

1.1 Google Colab IDE.html

1. Setting Up Google Colab IDE

8. Downloading Supply Chain Dataset From Kaggle

1.1 Kaggle Dataset.html

1. Downloading Supply Chain Dataset From Kaggle

9. Project Preparation

1.1 supply chain data.csv

1. Uploading Supply Chain Dataset to Google Colab

2.1 datasetoverview.zip

2. Quick Overview of Supply Chain Dataset

10. Cleaning Dataset by Removing Missing Rows & Duplicates

1.1 cleaningsupplychaindataset.zip

1. Cleaning Dataset by Removing Missing Rows & Duplicates

11. Quality Control Check - Analyzing Defect Rates

1.1 analyzing&visualizingdefectrates.zip

1. Analyzing & Visualizing Defect Rates For Each Product Type

12. Supply Chain Risk Assessment

1.1 supplychainriskassessment.zip

1. Supply Chain Risk Assessment

13. Inventory Optimization Analysis Using EOQ

1.1 inventoryoptimizationusingeoq.zip

1. Inventory Optimization Analysis Using EOQ

14. Customer Segmentation Analysis

1.1 customersegmentationanalysis.zip

1. Customer Segmentation Analysis

15. Lead Times Optimization Analysis

1.1 leadtimeoptimizationanalysis.zip

1. Lead Times Optimization Analysis

16. Forecasting Demand with LightGBM Model

1.1 forecastingdemandwithlightgbm.zip

1. Forecasting Demand with LightGBM Model

17. Cost Optimization Analysis with RNN Model

1.1 costoptimizationwithrnn.zip

1. Cost Optimization Analysis with RNN Model

18. K-Fold Cross Validation Method

1.1 kfoldcrossvalidationmethod.zip

1. K-Fold Cross Validation Method

19. Conclusion & Summary

1. Conclusion & Summary

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تولید کننده: Udemy