This tutorial demonstrates how to perform advanced statistical analysis and predict future data using the SARIMA model in Python, without writing extensive code. Key Steps: Key Takeaways: Google Sheets:https://docs.google.com/spreadsheets/d/1Vphx5JGhDGR9YP4Zh69r4Hb3fHAY2_fG4loylzCVhBs/edit?usp=sharing Google Colab Notebook: https://colab.research.google.com/drive/1ba4Ef0fUeiP5UI0mRsyQo-PhMjn4l7_H?usp=sharing
This HTML Editor was entirely generated by Google Gemini, an AI tool. This was part of a tutorial, to demonstrate how to create applications without writing codes yourself. Tutorial:https://virtual-school.org/video-tutorials/html/we-asked-an-ai-to-create-a-web-application-for-us-learn-to-build-apps-without-any-coding/ Bold Italic H1 H2 H3 Insert Image Hyperlink Auto Add br
This tutorial demonstrates how to create an animated Power BI dashboard showcasing Olympic javelin gold medalists. Starting with AI-generated data, we guide you through building a dashboard with key metrics like longest throw, athlete information, and historical performance trends. The process involves using various Power BI visuals, formatting for aesthetic appeal, and incorporating a play…
This tutorial demonstrates how to integrate Google Forms responses with Power BI Desktop to create interactive visualizations. It covers creating a Google Form, collecting responses, and connecting the resulting spreadsheet to Power BI. The video then walks through building a dashboard with various charts to analyze the collected data, including using AI to calculate values…
This video tutorial demonstrates how to create a simple HTML editor using AI and troubleshoot a minor functionality issue. AI tools like Gemini can generate the HTML, CSS, and Javascript code needed for the editor. The process involves asking the AI the right questions and making minor modifications to the code. The final product allows…