Introduction to Experiment Tracking
This webinar shows you how to get started with experiment tracking, a pivotal yet frequently overlooked aspect of the data science lifecycle.
Jul 2023
RelatedSee MoreSee More
tutorial
Streamline Your Machine Learning Workflow with MLFlow
Take a deep dive into what MLflow is and how you can leverage this open-source platform for tracking and deploying your machine learning experiments.
Moez Ali
12 min
code-along
Running Machine Learning Experiments in Python
In this webinar, you'll use MLflow to manage a machine learning experiment pipeline. The session will cover model evaluation, hyperparameter tuning, and MLOps strategies, using a London weather dataset.
Folkert Stijnman
code-along
Getting Started with Machine Learning in Python
Learn the fundamentals of supervised learning by using scikit-learn.
George Boorman
code-along
Data Storytelling for Absolute Beginners: A Case Study with Green Businesses
In this webinar for data novices, you'll learn about several ways in which you can visualize your data, understand how plots work and structure a story around them.
Camilo Martinez
code-along
Only Code If You Want To: Data Science with DataLab (Part 1)
Find out how to use DataLab's chat interface to perform data analysis using a completely conversational workflow.
Filip Schouwenaars
code-along
Exploratory Data Analysis in Python for Absolute Beginners
In this live codealong, you will learn the basics of exploring new datasets
Filip Schouwenaars