article thumbnail

Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

A typical workflow is illustrated here from data ingestion, EDA (Exploratory Data Analysis), experimentation, model development and evaluation, to the registration of a candidate model for production. Additional architecture tailored for Azure ML + Spark and IoT (Internet of Things) Edge scenarios are in development.

article thumbnail

Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

IoT (Internet of Things) Analytics Projects: IoT analytics involves processing and analyzing data from IoT devices to gain insights into device performance, usage patterns, and predictive maintenance. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA).