Microsoft is offering FREE online courses with certification.
No Payment Required!
10 Microsoft courses you DO NOT want to miss โฌ๏ธ
1. Python for Beginners
๐https://learn.microsoft.com/en-us/training/paths/beginner-python/
2. Introduction to Machine Learning with Python
๐https://learn.microsoft.com/en-us/training/paths/intro-to-ml-with-python/
3. Microsoft Azure AI Fundamentals
๐ https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/
4. Write Your First Code Using C#
๐https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/
5. Get started with AI on Azure
๐https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/
6. Microsoft Azure Fundamentals: Describe Cloud Concepts
๐https://learn.microsoft.com/en-us/training/paths/microsoft-azure-fundamentals-describe-cloud-concepts/
7. Introduction to GitHub
๐https://learn.microsoft.com/en-us/training/modules/introduction-to-github/
8. Build an Early-Stage Startup
๐https://learn.microsoft.com/en-us/training/paths/startups/
9. Microsoft Search Fundamentals
๐https://learn.microsoft.com/en-us/training/paths/microsoft-search-fundamentals/
10. Get Started with Office 365
๐https://learn.microsoft.com/en-us/training/paths/get-started-office-365-windows/
11. Data Science for Beginners
๐https://microsoft.github.io/Data-Science-For-Beginners/#/
Enjoy Learning ๐
No Payment Required!
10 Microsoft courses you DO NOT want to miss โฌ๏ธ
1. Python for Beginners
๐https://learn.microsoft.com/en-us/training/paths/beginner-python/
2. Introduction to Machine Learning with Python
๐https://learn.microsoft.com/en-us/training/paths/intro-to-ml-with-python/
3. Microsoft Azure AI Fundamentals
๐ https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/
4. Write Your First Code Using C#
๐https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/
5. Get started with AI on Azure
๐https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/
6. Microsoft Azure Fundamentals: Describe Cloud Concepts
๐https://learn.microsoft.com/en-us/training/paths/microsoft-azure-fundamentals-describe-cloud-concepts/
7. Introduction to GitHub
๐https://learn.microsoft.com/en-us/training/modules/introduction-to-github/
8. Build an Early-Stage Startup
๐https://learn.microsoft.com/en-us/training/paths/startups/
9. Microsoft Search Fundamentals
๐https://learn.microsoft.com/en-us/training/paths/microsoft-search-fundamentals/
10. Get Started with Office 365
๐https://learn.microsoft.com/en-us/training/paths/get-started-office-365-windows/
11. Data Science for Beginners
๐https://microsoft.github.io/Data-Science-For-Beginners/#/
Enjoy Learning ๐
โค7
Java project ideas to help you practice your skills
1. ToDo List Application: Create a command-line or GUI-based application that allows users to create, manage, and organize their tasks.
2. Calculator: Build a simple calculator application that can perform basic arithmetic operations like addition, subtraction, multiplication, and division.
3. Library Management System: Design a system for managing library resources, including books, patrons, and borrowing records.
4. Chat Application: Develop a chat application that enables users to communicate in real-time, either as a desktop app or through a web interface.
5. Weather App: Create an app that fetches weather data from an API and displays current weather conditions for a given location.
6. Student Gradebook: Build a program to store and calculate student grades. You can add features like grade averages and report generation.
7. Expense Tracker: Create an application for tracking expenses and generating reports, helping users manage their finances.
8. Simple Game (e.g., Tic-Tac-Toe): Implement a classic game like Tic-Tac-Toe to learn about game logic and user interaction.
9. Blog or Content Management System (CMS): Build a simple blog or CMS where users can create, edit, and publish articles.
10. E-commerce Shopping Cart: Create a basic online shopping cart system with product listings, a shopping cart, and checkout functionality.
11. File Manager: Develop a file manager application that allows users to organize and manage files and directories on their computer.
12. Inventory System: Design an inventory management system for tracking products, quantities, and orders for a small business.
13. Music Player: Create a basic music player with features like play, pause, skip, and a library of songs.
14. Password Manager: Build a secure application for storing and managing passwords and other sensitive information.
15. Chess or Sudoku Solver: Implement a chess game or a Sudoku puzzle solver to delve into complex algorithms and logic.
16. Note-taking App: Develop a note-taking application with features like creating, editing, and organizing notes.
17. Expense Sharing App: Build an app for groups to track shared expenses and split bills among friends or roommates.
18. Task Scheduler: Create a program that allows users to schedule and manage tasks, reminders, and appointments.
19. Mini Social Media Platform: Create a simplified social media platform with features like user profiles, posting, and commenting.
20. Quiz or Flashcard Application: Design an app for creating and taking quizzes or using flashcards to study various topics.
Choose a project that aligns with your interests and skill level. As you work on these projects, you'll gain valuable experience and improve your Java programming skills.
1. ToDo List Application: Create a command-line or GUI-based application that allows users to create, manage, and organize their tasks.
2. Calculator: Build a simple calculator application that can perform basic arithmetic operations like addition, subtraction, multiplication, and division.
3. Library Management System: Design a system for managing library resources, including books, patrons, and borrowing records.
4. Chat Application: Develop a chat application that enables users to communicate in real-time, either as a desktop app or through a web interface.
5. Weather App: Create an app that fetches weather data from an API and displays current weather conditions for a given location.
6. Student Gradebook: Build a program to store and calculate student grades. You can add features like grade averages and report generation.
7. Expense Tracker: Create an application for tracking expenses and generating reports, helping users manage their finances.
8. Simple Game (e.g., Tic-Tac-Toe): Implement a classic game like Tic-Tac-Toe to learn about game logic and user interaction.
9. Blog or Content Management System (CMS): Build a simple blog or CMS where users can create, edit, and publish articles.
10. E-commerce Shopping Cart: Create a basic online shopping cart system with product listings, a shopping cart, and checkout functionality.
11. File Manager: Develop a file manager application that allows users to organize and manage files and directories on their computer.
12. Inventory System: Design an inventory management system for tracking products, quantities, and orders for a small business.
13. Music Player: Create a basic music player with features like play, pause, skip, and a library of songs.
14. Password Manager: Build a secure application for storing and managing passwords and other sensitive information.
15. Chess or Sudoku Solver: Implement a chess game or a Sudoku puzzle solver to delve into complex algorithms and logic.
16. Note-taking App: Develop a note-taking application with features like creating, editing, and organizing notes.
17. Expense Sharing App: Build an app for groups to track shared expenses and split bills among friends or roommates.
18. Task Scheduler: Create a program that allows users to schedule and manage tasks, reminders, and appointments.
19. Mini Social Media Platform: Create a simplified social media platform with features like user profiles, posting, and commenting.
20. Quiz or Flashcard Application: Design an app for creating and taking quizzes or using flashcards to study various topics.
Choose a project that aligns with your interests and skill level. As you work on these projects, you'll gain valuable experience and improve your Java programming skills.
โค6
Important skills every self-taught developer should master:
๐ป HTML, CSS & JavaScript โ the foundation of web development
โ๏ธ Git & GitHub โ track changes and collaborate effectively
๐ง Problem-solving โ break down and debug complex issues
๐๏ธ Basic SQL โ manage and query data efficiently
๐งฉ APIs โ fetch and use data from external sources
๐งฑ Frameworks โ like React, Flask, or Django to build faster
๐งผ Clean Code โ write readable, maintainable code
๐ฆ Package Managers โ like npm or pip for managing libraries
๐ Deployment โ host your projects for the world to see
Web Development Resources: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
๐ป HTML, CSS & JavaScript โ the foundation of web development
โ๏ธ Git & GitHub โ track changes and collaborate effectively
๐ง Problem-solving โ break down and debug complex issues
๐๏ธ Basic SQL โ manage and query data efficiently
๐งฉ APIs โ fetch and use data from external sources
๐งฑ Frameworks โ like React, Flask, or Django to build faster
๐งผ Clean Code โ write readable, maintainable code
๐ฆ Package Managers โ like npm or pip for managing libraries
๐ Deployment โ host your projects for the world to see
Web Development Resources: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
โค5
๐๐ฅ ๐๐ฒ๐ฐ๐ผ๐บ๐ฒ ๐ฎ๐ป ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐๐ ๐๐๐ถ๐น๐ฑ๐ฒ๐ฟ โ ๐๐ฟ๐ฒ๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ
Master the most in-demand AI skill in todayโs job market: building autonomous AI systems.
In Ready Tensorโs free, project-first program, youโll create three portfolio-ready projects using ๐๐ฎ๐ป๐ด๐๐ต๐ฎ๐ถ๐ป, ๐๐ฎ๐ป๐ด๐๐ฟ๐ฎ๐ฝ๐ต, and vector databases โ and deploy production-ready agents that employers will notice.
Includes guided lectures, videos, and code.
๐๐ฟ๐ฒ๐ฒ. ๐ฆ๐ฒ๐น๐ณ-๐ฝ๐ฎ๐ฐ๐ฒ๐ฑ. ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ-๐ฐ๐ต๐ฎ๐ป๐ด๐ถ๐ป๐ด.
๐ Apply now: https://go.readytensor.ai/cert-593-agentic-ai-certification
React โฅ๏ธ for more useful resources
Master the most in-demand AI skill in todayโs job market: building autonomous AI systems.
In Ready Tensorโs free, project-first program, youโll create three portfolio-ready projects using ๐๐ฎ๐ป๐ด๐๐ต๐ฎ๐ถ๐ป, ๐๐ฎ๐ป๐ด๐๐ฟ๐ฎ๐ฝ๐ต, and vector databases โ and deploy production-ready agents that employers will notice.
Includes guided lectures, videos, and code.
๐๐ฟ๐ฒ๐ฒ. ๐ฆ๐ฒ๐น๐ณ-๐ฝ๐ฎ๐ฐ๐ฒ๐ฑ. ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ-๐ฐ๐ต๐ฎ๐ป๐ด๐ถ๐ป๐ด.
๐ Apply now: https://go.readytensor.ai/cert-593-agentic-ai-certification
React โฅ๏ธ for more useful resources
โค2๐1๐ญ1
Python Code to remove Image Background
โโโโโโโโโโโโโโโโโโโโโ-
โโโโโโโโโโโโโโโโโโโโโ-
from rembg import remove
from PIL import Image
image_path = 'Image Name' ## ---> Change to Image name
output_image = 'ImageNew' ## ---> Change to new name your image
input = Image.open(image_path)
output = remove(input)
output.save(output_image)
R Programming Roadmap
|
|-- Fundamentals
| |-- Basics of Programming
| | |-- Introduction to R
| | |-- Setting Up Development Environment (RStudio)
| |
| |-- Syntax and Structure
| | |-- Basic Syntax
| | |-- Variables and Data Types
| | |-- Operators and Expressions
|
|-- Control Structures
| |-- Conditional Statements
| | |-- If-Else Statements
| |
| |-- Loops
| | |-- For Loop
| | |-- While Loop
| | |-- Repeat Loop
| |
| |-- Exception Handling
| | |-- Try-Catch Block
| | |-- Warnings and Errors
|
|-- Functions and Scope
| |-- Defining Functions
| | |-- Function Syntax
| | |-- Parameters and Arguments
| | |-- Return Statement
| |
| |-- Scope
| | |-- Global and Local Scope
| | |-- Environments
|
|-- Data Structures
| |-- Vectors
| | |-- Creating Vectors
| | |-- Vectorized Operations
| |
| |-- Lists
| | |-- Creating and Manipulating Lists
| |
| |-- Matrices
| | |-- Creating Matrices
| | |-- Matrix Operations
| |
| |-- Data Frames
| | |-- Creating Data Frames
| | |-- Manipulating Data Frames
| |
| |-- Factors
| | |-- Creating and Using Factors
|
|-- Data Manipulation
| |-- dplyr
| | |-- Select, Filter, Arrange, Mutate, Summarize
| | |-- Piping (%>%)
| |
| |-- tidyr
| | |-- Gather and Spread
| | |-- Separate and Unite
|
|-- Data Visualization
| |-- Base R Graphics
| | |-- Plot, Hist, Boxplot, Barplot
| |
| |-- ggplot2
| | |-- Grammar of Graphics
| | |-- Creating Plots (Scatter, Line, Bar, Histogram)
| | |-- Customizing Plots (Themes, Labels, Legends)
|
|-- Statistical Analysis
| |-- Descriptive Statistics
| | |-- Mean, Median, Mode
| | |-- Standard Deviation, Variance
| |
| |-- Inferential Statistics
| | |-- Hypothesis Testing (t-tests, ANOVA)
| | |-- Correlation and Regression Analysis
|
|-- Advanced R
| |-- Date and Time
| | |-- Working with Dates and Times
| | |-- lubridate Package
| |
| |-- String Manipulation
| | |-- Stringr Package
| | |-- Regular Expressions
|
|-- Programming Concepts
| |-- Apply Family of Functions
| | |-- lapply, sapply, tapply, vapply
| |
| |-- Debugging
| | |-- Debugging Tools (browser, debug, trace)
| |
| |-- Object-Oriented Programming (OOP)
| | |-- S3 and S4 Systems
| | |-- Reference Classes (R5)
|
|-- Libraries and Packages
| |-- CRAN and Bioconductor
| | |-- Installing and Using Packages
| |
| |-- Popular Packages
| | |-- Data Manipulation (dplyr, tidyr)
| | |-- Data Visualization (ggplot2, lattice)
| | |-- Machine Learning (caret, randomForest)
|
|-- Reporting and Documentation
| |-- RMarkdown
| | |-- Creating RMarkdown Documents
| | |-- Including Code Chunks
| | |-- Generating Reports (HTML, PDF, Word)
|
|-- Deployment and Reproducibility
| |-- Version Control with Git
| | |-- Integrating RStudio with GitHub
| |
| |-- Reproducible Research
| | |-- Workflow Practices
| | |-- Using renv for Package Management
|
|-- Working with Big Data
| |-- Data.table Package
| | |-- Efficient Data Manipulation
| |
| |-- SparkR
| | |-- Using Apache Spark with R
| | |-- Handling Large Datasets
Free R Programming Courses
https://imp.i115008.net/gbJr5r
https://bit.ly/33LsOqo
https://bit.ly/3shVAJ9
Join @free4unow_backup for more free courses
ENJOY LEARNING ๐๐
|
|-- Fundamentals
| |-- Basics of Programming
| | |-- Introduction to R
| | |-- Setting Up Development Environment (RStudio)
| |
| |-- Syntax and Structure
| | |-- Basic Syntax
| | |-- Variables and Data Types
| | |-- Operators and Expressions
|
|-- Control Structures
| |-- Conditional Statements
| | |-- If-Else Statements
| |
| |-- Loops
| | |-- For Loop
| | |-- While Loop
| | |-- Repeat Loop
| |
| |-- Exception Handling
| | |-- Try-Catch Block
| | |-- Warnings and Errors
|
|-- Functions and Scope
| |-- Defining Functions
| | |-- Function Syntax
| | |-- Parameters and Arguments
| | |-- Return Statement
| |
| |-- Scope
| | |-- Global and Local Scope
| | |-- Environments
|
|-- Data Structures
| |-- Vectors
| | |-- Creating Vectors
| | |-- Vectorized Operations
| |
| |-- Lists
| | |-- Creating and Manipulating Lists
| |
| |-- Matrices
| | |-- Creating Matrices
| | |-- Matrix Operations
| |
| |-- Data Frames
| | |-- Creating Data Frames
| | |-- Manipulating Data Frames
| |
| |-- Factors
| | |-- Creating and Using Factors
|
|-- Data Manipulation
| |-- dplyr
| | |-- Select, Filter, Arrange, Mutate, Summarize
| | |-- Piping (%>%)
| |
| |-- tidyr
| | |-- Gather and Spread
| | |-- Separate and Unite
|
|-- Data Visualization
| |-- Base R Graphics
| | |-- Plot, Hist, Boxplot, Barplot
| |
| |-- ggplot2
| | |-- Grammar of Graphics
| | |-- Creating Plots (Scatter, Line, Bar, Histogram)
| | |-- Customizing Plots (Themes, Labels, Legends)
|
|-- Statistical Analysis
| |-- Descriptive Statistics
| | |-- Mean, Median, Mode
| | |-- Standard Deviation, Variance
| |
| |-- Inferential Statistics
| | |-- Hypothesis Testing (t-tests, ANOVA)
| | |-- Correlation and Regression Analysis
|
|-- Advanced R
| |-- Date and Time
| | |-- Working with Dates and Times
| | |-- lubridate Package
| |
| |-- String Manipulation
| | |-- Stringr Package
| | |-- Regular Expressions
|
|-- Programming Concepts
| |-- Apply Family of Functions
| | |-- lapply, sapply, tapply, vapply
| |
| |-- Debugging
| | |-- Debugging Tools (browser, debug, trace)
| |
| |-- Object-Oriented Programming (OOP)
| | |-- S3 and S4 Systems
| | |-- Reference Classes (R5)
|
|-- Libraries and Packages
| |-- CRAN and Bioconductor
| | |-- Installing and Using Packages
| |
| |-- Popular Packages
| | |-- Data Manipulation (dplyr, tidyr)
| | |-- Data Visualization (ggplot2, lattice)
| | |-- Machine Learning (caret, randomForest)
|
|-- Reporting and Documentation
| |-- RMarkdown
| | |-- Creating RMarkdown Documents
| | |-- Including Code Chunks
| | |-- Generating Reports (HTML, PDF, Word)
|
|-- Deployment and Reproducibility
| |-- Version Control with Git
| | |-- Integrating RStudio with GitHub
| |
| |-- Reproducible Research
| | |-- Workflow Practices
| | |-- Using renv for Package Management
|
|-- Working with Big Data
| |-- Data.table Package
| | |-- Efficient Data Manipulation
| |
| |-- SparkR
| | |-- Using Apache Spark with R
| | |-- Handling Large Datasets
Free R Programming Courses
https://imp.i115008.net/gbJr5r
https://bit.ly/33LsOqo
https://bit.ly/3shVAJ9
Join @free4unow_backup for more free courses
ENJOY LEARNING ๐๐
โค4