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ml-forecast-features-eng's Introduction

👋 Hi there

I'm Samir, a Senior Supply Chain Engineer based in Paris. I am passionate about using Data Science and Python programming to optimize Supply Chain Operations.

📰 Personal Blog

Personal Blog to find articles regarding Data Science for Warehousing 📦, Transportation 🚚 and Demand Forecasting 📈.

🎥 Supply Science Youtube Channel

Youtube Channel to find short animated videos to learn more about Logistics Operations and Supply Chain Process Optimization.

👉 Let's connect!

Add me on Linkedin

📘 Your complete guides for Supply Chain Analytics and Productivity

60+ case studies with source code, dummy data and mathematical concepts here 👉 Supply Chain Analytics Cheat Sheet

15+ tools and examples of analytics tools to boost your productivity 👉 Productivity Cheat Sheet

👷 My Web Applications & GPTs

  • Sustainable Supply Chain Network Optimization 🌲: (Try it!) (Video Tutorial)
  • Automate ABC Analysis & Product Segmentation 📈: (Try it!)
  • Production Planning Optimization 🏭: (Try it!)
  • Improve Warehouse Productivity using Order Batching 📦: (Github Repository)
  • The Supply Chain Analyst GPT to Automate ABC Analysis & Pareto Chart: (Custom GPT)
  • The Supply Chain Analytics Scholar GPT - a smart agent connected to a knowledge database of 60+ articles: (Custom GPT)
  • The Data Productivity Guru: (Custom GPT)

🖥️ I've shared my insights about

Supply Chain Sustainability 🌲

  • How Will Data Science Accelerate the Circular Economy?: (Article)
  • What are the Sustainable Development Goals? (SDGs): (Article)
  • What is ESG Reporting?: (Article)
  • What Greenwashing Is, and How We Can Use Analytics to Detect It: (Article)
  • Create a Sustainable Supply Chain Optimization Web App: (Article) (Video Tutorial)
  • Leveraging Data Analytics for Sustainable Business Transformation: (Article)
  • How Sustainable is Your Circular Economy?: (Article)
  • Green Inventory Management - Case Study: (Article)
  • What is Sustainable Sourcing?: (Article)
  • What is a Life Cycle Assessment? LCA: (Article)
  • What is a Circular Economy?: (Article)
  • Data Analytics for Supply Chain Sustainability: (Article)
  • Sustainable Logistics - Reduce Warehouse Consumables: (Article) - (Video Tutorial)
  • Supply Chain Sustainability Reporting with Python: (Article) - (Github Repository) - (Video Tutorial)

Generative AI: LLMs with LangChain for Supply Chain Analytics

  • Leveraging LLMs with LangChain for Supply Chain Analytics — A Control Tower Powered by GPT: (Article)
  • Create GPTs to Automate Supply Chain Analytics: (Article) - (Video Tutorial)

Productivity ⌛

Logistics Network Performance Management ⏱️

Retail Sales Forecasting 📈

  • Machine Learning for Retail Sales Forecasting — Features Engineering: (Article) - (Github Repository)
  • Machine Learning for Retail Demand Forecasting: (Article)
  • Machine Learning for Store Delivery Scheduling: (Article)

Inventory Management for Retail 🛒

Supply Chain Optimization 🏭

Continuous Improvement and Lean Six Sigma for Supply Chain 🧑‍🏭

Transportation Operations Optimization using Python 🚚

Warehousing Operations Optimization using Python 📦

  • Scheduling of Luxury Goods Final Assembly Lines with Python: (Article) - (Video Tutorial)
  • Deep Reinforcement Learning for AGV Routing: (Article)
  • Reduce Warehouse Space with the Pareto Principle using Python: (Article) - (Github Repository) - (Video Tutorial)
  • Optimize Workforce Planning using Linear Programming with Python: (Article) - (Github Repository) - (Video Tutorial)
  • Design Pathfinding Algorithm using Google AI to Improve Warehouse Productivity: (Article)
  • Improve Warehouse Productivity using Spatial Clustering with Python Scipy: (Article)
  • Improve Warehouse Productivity using Order Batching with Python: (Article)

Supply Chain Transactional Processes Automation (RPA) 🤖

Interactive Visualization 📊

  • Deploy Logistics Operational Dashboards using DataPane: (Article) - (Github Repository)
  • Vaccination Centers Availability in Paris using Google Maps Viz Tool: (Demo)
  • Build Interactive Charts using Flask and D3.js: (Article) - (Github Repository)
  • Build an Interactive Matrix Chart of Les Miserables Characters using Flask and D3.js: (Github Repository)
  • Violin Plot using Flask + D3.js: (Demo) - (Github Repository)
  • Hexagons Map using D3.js: (Demo)
  • Cosmetics Product Sales Sankey Chart using D3.js: (Demo)

Data & Business

  • What Is Data Quality?: (Article)
  • What is Business Intelligence?: (Article)

ml-forecast-features-eng's People

Contributors

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Stargazers

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Watchers

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ml-forecast-features-eng's Issues

Help

Hi, went through your code. I was wondering as to how I can implement prediction results in this code(since I'm new and am learning). Please help, thanks.

Lag features on test data

Hi , went through your code. But i find one problem over hear , you have created lag features first and then you have split the data into training and testing . Doesn't it count as data leak as for the unseen data you would not have sales for all the unseen day then there this creation of lag would become a problem. Can you help with this and how could you create lag for the upcoming days for prediction as there are important features?

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