Power BI , UI UX , Machine Learning : From Zero To Hero

Explore building a real-time face recognition project using YOLO v7 on Roboflow, covering account setup, dataset creation, annotation, training, validation, and running the project in PyCharm or Google Colab.

Create a Roboflow account and project workspace, select object detection. Name the project real time facial recognition and set a license for real time face detection with YOLO v7.

Create a dataset for real-time facial recognition using YOLO v7 by importing videos and images on Roboflow, and adjust frame rate to generate hundreds of images.

Annotate datasets in Roboflow using drag, bounding box, polygon, and smart polygon tools, manage classes and layers, and apply train, valid, and test splits for real-time face recognition projects.

Train a dataset with yolov7 on roboflow by creating a new version, reviewing images and classes, applying augmentation, exporting as yolov7 pytorch, and starting fast training for later validation.

Validate the trained Yolov7 model on Roboflow by testing images and videos with drag-and-drop, adjusting threshold and overlap to achieve high mean average precision, recall, and real-time face recognition.

Execute a PyCharm project with Roboflow, OpenCV, and YOLOv7 using various code snippets, from host API to cloud, and apply utilities like annotate and count predictions.

Beginner-friendly Power BI course with practical, hands-on videos and live demos that explain each step, helping you navigate Power BI and create your own dashboards confidently.

Install Power BI desktop, explore its architecture with desktop and service, and learn to build dashboards by combining multiple reports into a single view.

Create your first Power BI dashboard by loading data from Excel, selecting visualizations like bar and pie charts, and formatting the dashboard to reveal sales insights for a garment shop.

Explore Power BI Desktop basics, including visualizations and filters on Excel data. Learn to transform data, split columns by delimiter, and create new fields for reporting.

Learn how to identify and set proper data types in Power BI, including text, integers, date time, and boolean, and master when to summarize or avoid summing certain fields.

Connect Power BI to multiple data sources, including Excel, CSV text, and websites, then load and verify data from a SQL Server database for integrated analysis.

Master basic formatting in Power BI by adjusting data cards and visuals, including font sizes, axis labels, titles, colors, backgrounds, shadows, and conditional colors with format painter.

Learn to create interactions between visuals in Power BI by editing interactions to enable cross-filtering and highlighting across charts for online order sales analysis.

Explore Power BI chart types, including common columns, bars, lines, donuts, pies, and maps, and learn to use cards, tables, slicers, and Q&A for location-based sales insights.

Learn to create and manage hierarchies in Power BI, drill down through year, quarter, and month, and use drag-and-drop to build category item hierarchies for effective summarization.

Master the drill through technique in Power BI to view detailed item-level records from dashboards, apply filters, and navigate between detailed reports and main views.

Learn how to create and manage one-to-many and many-to-one relationships between tables in Power BI, linking item master and sales data by a common column to filter charts.

Explore the star schema in Power BI by modeling fact sales and customer and product dimensions. Create relationships to avoid data repetition and improve performance.

Master Power Query, Power Pivot, and Power View in Power BI to perform ETL, model relationships, and leverage M language for reports.

Learn to remove top N rows in Power BI using Power Query, transforming Excel data and setting the first row as header to prepare clean data for reporting.

Explore how to fill gaps in source data in Power BI using Power Query, transforming data and applying fill down or fill up to ensure complete rows.

Learn to split column data in Power BI using delimiters, trim spaces, and extract numbers or IDs with Power Query, including non-digit to digit splits and right-most delimiter methods.

Derive a new Power BI column by concatenating category name and item name into category product details, and create a conditional column to label records as branded or unbranded.

Learn to design a YouTube UI/UX in Figma, from understanding Figma features to creating frames and front, search, and channel pages, then prototype and present a visual UI/UX in Figma.

Learn about Figma, a UI/UX design tool, its dashboard and main menu, shapes, frames, and tools, plus widgets, components, plugins, and collaboration features like comments and share.

Create the frame for a YouTube ui ux design in figma, set color and corner radius, and import icons and the status bar from the community for your project.

Create the YouTube home page user interface by building the status bar, logo, icons, and image tiles with captions; import icons from the community and apply dark mode.

Create the YouTube home page UI by building a rectangular image box, adding a circular channel image, typing video details, and designing a navigation bar with icons.

Design a YouTube shorts page UI/UX in Figma, duplicating frames, adding a status bar, image rectangle, and icons (like, dislike, comments, share, remix, channel), plus a subscribe button.

Create the YouTube channel page UI by designing the name, icon, channel image, and navigation features like home and videos; duplicate frames, align elements, and prepare a prototype.

Create a prototype for a YouTube UI/UX design in figma by linking the home, search, and channel pages using the prototype tool, with instant transitions between pages.