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 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…
In this tutorial, we will show you how to: – Read a csv file using Pandas library – Create and train a Nearest Centroid Classifier sklearn.neighbors – Use Principal component analysis (PCA) to compress dataframe – Predict #Iris dataset using Nearest Centroid Classifier – Create Visualizations using matplotlib #python #machinelearning #matplotlib #sklearn #scikitlearn #nearestcentroid #nearestcentroidclassifier…