30 Days of Learning
8 Topics- Revolutionizing Accessibility: The Power of Facial Navigation TechnologyImagine that one of your colleagues lost arm mobility due to an accident, and now they are wondering how they will go back to their work. What if I could tell you that they will be able to use Teams and much more as they did before… 1.5KViews2likes0Comments 1.5KViews2likes0Comments
- Getting Started learning Power BI with a Microsoft Cloud Skill ChallengeLearn from my story, how I sacrifice money for skill. I shared this story in this learning content. today, I reap the reward of focus and letting go anything that can distract me from getting the best from my learning engagement4.6KViews0likes1Comment
- Join the 30 Days of Microsoft Graph Challenge 🦒Welcome to 30 Days of Microsoft Graph Challenge! I’m so excited to introduce you to our pilot learning program to help your skill up journey with Microsoft technologies and ecosystem by learning and building apps with Microsoft Graph.5.5KViews1like0Comments
- Setting up Python for Data Science EnvironmentsData Science is an intersection of domain knowledge, technical expertise, and statistics. It gives us the power to evaluate existing data, perform various functions such as visualization and manipulation which in turn help us in decision making. 2.5KViews0likes0Comments 2.5KViews0likes0Comments
- Data Science and Machine Learning using regression modelsWe have gone far beyond learning all the numerous Machine Learning concepts and techniques, now it is time to put into practice what we have been learning. But first, a recap: In the 30DaysOfLearning, we cover different Machine Learning techniques, that as a Data Scientist equips you with the relevant knowledge to build, train and evaluate your models. The full curriculum can be found at: https://aka.ms/30DL-DSMLPage. In this blog, we will summarize the different concepts covered under machine learning and a link to the resources.3.1KViews1like1Comment