What happens when you encounter large data sets that are more nuanced than a set of concrete numbers? When you begin to explore natural language, or data sets with many potential influential features, you require more complex and predictive machine learning models. In this advanced Data Science workshop, learn about K-Means, Naive Bayes, and Regression models that will better support complex data and questions.
You should have some basic data cleansing, manipulation, and preparation in Python prior to attending 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 apply advanced machine learning models to data that you have prepared. .
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 Machine Learning 1: Making Your Data Useful for Analysis
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/