NijatZeynalov / New-product-demand-forecasting-via-Content-based-learning-for-multi-branch-storesLinks
New product demand forecasting via Content based learning for multi-branch stores: Ali and Nino Use Case
☆14Updated 2 years ago
Alternatives and similar repositories for New-product-demand-forecasting-via-Content-based-learning-for-multi-branch-stores
Users that are interested in New-product-demand-forecasting-via-Content-based-learning-for-multi-branch-stores are comparing it to the libraries listed below
Sorting:
- Capstone project for mlops zoomcamp☆12Updated 3 years ago
- Machine Learning Ops Project☆30Updated last year
- Deploying Models to Production with Mlflow and AWS Sagemaker☆23Updated 4 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- ☆22Updated 3 years ago
- Intelligent Document Processing with AWS AI/ML, published by Packt☆10Updated 3 weeks ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆92Updated 2 years ago
- MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.☆13Updated 3 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated 3 weeks ago
- To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…☆21Updated 6 years ago
- Learning Tensorflow Step by Step:: Concepts, Examples & Applications☆56Updated 5 months ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆130Updated last year
- Production-Ready Applied Deep Learning☆92Updated 3 weeks ago
- Historical Sales Using Price Elasticity to determine customer responsiveness to future price changes☆24Updated 3 years ago
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆81Updated 3 years ago
- A LLM based chatbot Recommender engine☆27Updated 2 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆55Updated 4 years ago
- Association rule mining is a technique to identify underlying relations between different items.☆70Updated 6 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆79Updated 2 years ago
- Convolutional Neural Network (CNN) to classify jewellry☆19Updated 6 years ago
- References to the Medium articles☆86Updated 3 years ago
- Time Series Forecasting for the M5 Competition☆41Updated 4 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated 2 years ago
- Comet for Data Science, published by Packt☆42Updated 3 weeks ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated 3 weeks ago
- Kubeflow installation on windows 10/11☆17Updated 2 years ago
- Awesome MLOps Course Outline☆36Updated 2 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆73Updated 3 weeks ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- Time series forecasting of some Indian Restaurant☆30Updated 4 years ago