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Beginners Data Science for Python Developers (3 hour)
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Adding AI to your Applications
Automate Your Development with GitHub Actions
Azure Cognitive Services with ML
Beginners Data Science for Python Developers (3 hour)
Beginners Data Science for Python Developers
Blockchain Fundamentals
Build a mobile app with Xamarin
Build a web app with ASP.NET Core
Build and Deploy applications to Azure by using GitHub Actions
Build continuous integration (CI) workflows by using GitHub Actions
Building and deploying a Django App
Building smart contracts for Blockcopoly
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Computer Vision API and Text Analytics
Connecting and deploying to Ethereum networks
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Contributing guide
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Creating Chat Bots with TypeScript
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DevOps Tools of the Trade
Discover Something new in Genomics Data
Embrace data nuances with K means
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End to End App Development Using Visual Studio Code
Explore Linear Regression and Classification with a bioscience project
Explore Logistic Regression with a loan application project
Explore Logistic Regression
Explore data types in Go
Explore the art world by using RESTFUL APIs
Exploring Genomics Data in VS Code
Exploring with Linear Regression
Get familiar with Solidity advanced data structures
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Getting Started with JavaScript – Making Pages Dynamic
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Getting started with TypeScript No Learn Module
Getting started with TypeScript
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How to Manipulate and Clean your data in Jupyter Notebooks
How to build a bot with QnA Maker
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Intro to JQuery & APIs
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Introduction to Python for Data Science (3 hour)
Introduction to Python for Data Science
Introduction to Python for space exploration
Introduction to blockchain on Azure
JavaScript fundamentals
Joining Datasets with Pandas
Learn about error handling in Rust
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Learn the basics of PowerShell
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Leverage GitHub Actions to Publish to GitHub Packages
Linear Regression with Azure Machine Learning
Making Your Data Useful for Analysis
Overview of Artificial Intelligence
Overview of Django
Pandas are more than bears: How to import, clean, and store data
Predict values with Linear Regression
Predict values with regression
Publish a Blazor WebAssembly app with Azure Static Web Apps
Quantum computing fundamentals
Rust 101
Rust: understand common concepts
Take Your First Steps with C#
Take Your First Steps with Python
TypeScript101
Use Machine Learning to Predict Rocket Launch Delays
Use the UNIX shell to wrangle log data
Using Advanced Machine Learning Models
Using the Azure Blockchain Development Kit
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Beginners Data Science for Python Developers (3 hour)
mebaumb редактировал(а) эту страницу 2021-05-07 11:34:30 -07:00
Содержание
Event Information
Category | Details |
---|---|
Workshop Active? | No, too long for virtual events |
Reactor Topic | Data Science and Machine Learning |
Location | In person |
Workshop Level | Beginner |
Workshop Duration | 3 hours |
Title | Beginners Data Science for Python Developers |
Description | Every day new data is created. New parts are made and shipped from factories, people continuously tweet, and companies grow and fluctuate causing major changes in the market. With the addition of more data comes the difficulty of being able to process that data. As humans, we can understand complex scenarios, but computers are much better at being able to analyze large datasets. In this workshop, you will get a glimpse into how we can teach machines to analyze complex scenarios at a much larger scale than we're able to. After you've cleaned and organized your data, you will have an opportunity to train and test machine learning models, and even publish your predictor online for others to explore. You do not need any prior experience with data science to attend this workshop. You are likely someone who has ~1 year experience coding, preferrably in Python, but not a requirement. You are interested in learning how to use Python libraries to call machine learning models and make predictions on your data. You should bring your own laptop (Windows or Mac) with an Internet browser. You will be using Azure Notebooks, a cloud-based Jupyter Notebooks instance, and Azure Machine Learning Studio. 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. |
Content Link | Unknown |
Event Dates Run:
Here's an overview of what this workshop will cover and suggested agenda to follow with links and resources.
Workshop Agenda
15 minutes Introduction to Data Science
60 minutes Cleaning and Manipulating Data
60 minutes Introduction to Machine Learning Models
60 minutes Machine Learning Studio
15 minutes Wrap Up
Resources
- TBD