Predicting customer churn repo focusing on the software engineering part
-
Updated
May 16, 2021 - Python
Predicting customer churn repo focusing on the software engineering part
An end to end machine learning system with mlflow to predict the failure of engine component
ML models comparison and analysis with hyperparameter tuning and nested cross-validation
Machine Learning Project which uses DVC for Data versioning, MLFlow for Experiment Tracking, ONNX & Docker file for packaging, Flask for API.
Testing MLOps approach to predict houses' prices in Saint-Petersburg
Use Machine Learning to forecast future sales.
Diagnose and fix problems in a production deployed code using MLflow.
Train, infer and deploy suitable machine learning models for any uploaded dataset, and visualise the experimental results (MLflow) easily from the GUI.
Lead Scoring Model which predicts whether a lead/customer acquired purchases the product or not.
This Repo shows TensorFlow in action. The library is used to perform image classification on the MNIST data set and the ML results are monitored with MLflow
This machine learning pipeline trains a model that aims to predict temperature and precipitation for 10 major cities in UK. The pipeline pulls data from API, process and tests it, trains and test a model and makes a batch prediction for next week's weather.
A web app for classification of kidney diseases
Refactory Final
Simple ML system for the iris problem
End-to-end deployment of a scalable RAG chatbot utilizing LangChain for retrieval-based QnA. The project leverages robust CI/CD practices integrating MLFlow with emphasizes on cost analysis.
This is a repository focused on building an ML platform from scratch.
Add a description, image, and links to the mlflow topic page so that developers can more easily learn about it.
To associate your repository with the mlflow topic, visit your repo's landing page and select "manage topics."