The course Exploring Data Science with .NET using Polyglot Notebooks & ML.NET is a comprehensive path for .NET developers who want to enter the fascinating world of data and artificial intelligence. With a practical and project-based approach, this course enables you to get to know the tools and techniques used in data science in a practical way from the very beginning.
What you will learn in this course:
- Integration of programming languages: With Polyglot Notebooks, you can use the power of different languages like C#, F# and Python in a single environment and choose the best tool for each part of your project.
- Machine learning with ML.NET: ML.NET is a powerful library for building machine learning models in the .NET environment. This course will help you quickly and easily train and evaluate your models using AutoML.
- Attractive data visualization: Using libraries like Plotly.NET and ScottPlot, you can display your data as beautiful interactive charts and graphs and gain valuable insights from the data.
- Integration with cloud services: The course shows you how to use cloud services such as Azure OpenAI and Semantic Kernel to perform more complex tasks.
- Introduction to Polyglot Notebooks: Familiarity with the work environment, code execution and project management
- Data acquisition and preparation: reading data from various sources, cleaning the data and converting it to the appropriate format
- Exploratory data analysis: preliminary examination of data, calculation of descriptive statistics and discovery of patterns
- Modeling with ML.NET: training various models such as regression, classification and clustering
- Evaluation of models: evaluating the performance of models and choosing the best model
- Developing artificial intelligence-based applications: using trained models in real applications
Who is this course for?
- This course is a great opportunity for .NET developers to improve their data science and artificial intelligence skills and become a professional data scientist.
