Build and Deploy 3 Machine Learning Models in 30 Days

In #30DaysOfDataScience we will go from understanding the Python language to working with real-life data and finally creating Machine Learning models both on Azure and in Python. The main role is understanding our data and using the knowledge to make decisions such as fraud detection, customer segmentation, and product pricing.

The program journey

The program is set to start on the 17th of October, to participate, you need to register as part of the program. other co-learners are waiting for you.

Part of your learning resources is a carefully curated Microsoft Learn on Python, and Azure aiming to teach you practical Data Science and machine learning in 30 Days. Build classification models, regression models, and unsupervised machine learning models by going through these learning paths. They serve as added resources to complement the live sessions.

If you are a beginner, this cloud skill challenge will help you learn the fundamentals and get the best from this learning adventure.

Click the link to the Cloud Skills Challenge modules and start learning now.

We will hold discussions on GitHub and over the 30-day period, we will host live sessions to help you navigate your journey. Register and join us for this epic adventure.

What to expect after 30 days

• Successfully build 3 end-to-end Data Science projects i.e. fraud detection model, customer segmentation, and product pricing model.
• Badge of completion to be posted on LinkedIn

Next Steps

Register for the Program set to kick off on the 17th of October to the 17th of November 2022.

See you at the finish line!