Having complete and accurate data is a critical first step to being able to learn from it, but part of the complexity of data science is narrowing down what part of the data is important. In this introductory workshop to Machine Learning you will begin to understand how to narrow down the feature scope of your data so that the predictions are based on causation and not just correlation.
You do not need any prior experience with data science to attend this workshop. You are likely someone who is interested in data science, and has 1-2 years coding in Python, or another programming language and feel comfortable enough with Python to be able to code in it during the workshop. You are interested in learning about how to prepare your data for advanced machine learning models using Python and specific Python libraries.
You will be using Azure Notebooks, a cloud-based Jupyter Notebooks instance. All you will need is a Microsoft Account, which only requires an email address and for which you can sign up for at the event.
This workshop is meant to be highly interactive. The instructor will lead you in two interactive teaching styles:
Notice: Various interactive cues are called out in the Notebooks. These are suggestions and at the instructor's discression.
The primary source of content will be relatively bare Azure Notebooks where the instructor will guide you through discovering the different features of Pandas, general data cleaning and manipulation, and a few advanced machine learning models such as PCA, ROC, K-Means, and Naive Bayes.
Azure Notebooks is still in Preview. This means that there are some times when it will fail. Here are some tips for avoiding losing your work:
If you need a referesher on how to code in Python or work with NumPy or Pandas, we recommend you check out the materials from our other Reactor Wowrkshops: Data Science 1: Introduction to Python for Data Science Data Science 2: Beginners Data Science for Python Developers
https://docs.microsoft.com/en-us/learn/paths/intro-to-ml-with-python/ https://docs.microsoft.com/en-us/learn/paths/build-ai-solutions-with-azure-ml-service/ https://docs.microsoft.com/en-us/learn/paths/get-started-with-azure-dsvm/ https://docs.microsoft.com/en-us/learn/paths/explore-data-science-tools-in-azure/ https://docs.microsoft.com/en-us/learn/paths/azure-fundamentals/