Use Isolation Forest and MLflow to prototype anomaly detection that could send email notification if there is any slight anomaly or empty.
-
Updated
May 3, 2022 - Python
Use Isolation Forest and MLflow to prototype anomaly detection that could send email notification if there is any slight anomaly or empty.
Image classification with Pytorch and the use of MLflow to track experiments
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.
Guided assets allocation within a portfolio. 📈
Use Machine Learning to forecast future sales.
Final Project of the MLOps Zoomcamp hosted by DataTalksClub.
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.
Azure Machine Learning empowers data scientists and developers to build, deploy, and manage high-quality models faster and with confidence. It accelerates time to value with industry-leading machine learning operations (MLOps), open-source interoperability, and integrated tools.
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
Machine Learning project aiming to classify mushrooms edibility, developing a model to predict whether a mushroom is safe to eat or poisonous based on its characteristics.
Refactory Final
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."