Alternatives and similar repositories for Customer_Lifetime_Value_Prediction

Users that are interested in Customer_Lifetime_Value_Prediction are comparing it to the libraries listed below

• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆24Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 2 years ago
• Deffro / end-to-end-ML-project
  An end-to-end ML Project
  ☆11Updated 2 years ago
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆30Updated 2 weeks ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated last year
• jeremyarancio / reservation_cancellation_prediction
  Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
  ☆64Updated last year
• JINO-ROHIT / Tune-RAG-Parameters-With-LlamaIndex
  ☆18Updated last year
• razorcd / mlops-project
  Machine Learning Ops Project
  ☆30Updated last year
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆79Updated 3 years ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆129Updated last year
• mukulsinghal001 / customer-lifetime-prediction-using-python
  What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…
  ☆154Updated 2 years ago
• danb-neo4j / patient_journey
  GDS Patient Journey Demo
  ☆13Updated 2 years ago
• mrmaheshrajput / recsys-llm-chatbot
  A LLM based chatbot Recommender engine
  ☆27Updated last year
• takechanman1228 / Effective-CLV-Modeling
  ☆21Updated last year
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated 2 years ago
• MatejFrnka / ScalableML-project
  ☆110Updated 2 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆51Updated last year
• dipanjanS / improving-RAG-systems-dhs2024
  This repository will contain the presentation and python jupyter notebooks for the DataHack Summit 2024 conference talk, Improving Real-w…
  ☆121Updated last year
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆72Updated last month
• shanakaChathu / churn_model
  ☆22Updated 2 years ago
• Paulescu / bytewax-hopsworks-example
  Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
  ☆145Updated 2 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 3 years ago
• solegalli / feature-selection-with-feature-engine-book
  Code repository for the book Feature engineering with Feature-engine
  ☆14Updated last year
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆48Updated 4 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆36Updated last year
• khuyentran1401 / prefect-dvc
  ☆23Updated 3 years ago
• Paulescu / testing-llms-in-the-real-world
  Test LLMs automatically with Giskard and CI/CD
  ☆31Updated last year
• RamiKrispin / ai-dev-2024-ml-workshop
  Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
  ☆93Updated this week