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Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning

Managed by: @love_data
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Important skills every self-taught developer should master:

๐Ÿ’ป HTML, CSS & JavaScript โ€” the foundation of web development

โš™๏ธ Git & GitHub โ€” track changes and collaborate effectively

๐Ÿง  Problem-solving โ€” break down and debug complex issues

๐Ÿ—„๏ธ Basic SQL โ€” manage and query data efficiently

๐Ÿงฉ APIs โ€” fetch and use data from external sources

๐Ÿงฑ Frameworks โ€” like React, Flask, or Django to build faster

๐Ÿงผ Clean Code โ€” write readable, maintainable code

๐Ÿ“ฆ Package Managers โ€” like npm or pip for managing libraries

๐Ÿš€ Deployment โ€” host your projects for the world to see

Web Development Resources: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
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๐Ÿ“– SQL aggregate functions
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๐Ÿš€๐Ÿ”ฅ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ๐—ป ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ฒ๐—ฟ โ€” ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ
Master the most in-demand AI skill in todayโ€™s job market: building autonomous AI systems.

In Ready Tensorโ€™s free, project-first program, youโ€™ll create three portfolio-ready projects using ๐—Ÿ๐—ฎ๐—ป๐—ด๐—–๐—ต๐—ฎ๐—ถ๐—ป, ๐—Ÿ๐—ฎ๐—ป๐—ด๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต, and vector databases โ€” and deploy production-ready agents that employers will notice.

Includes guided lectures, videos, and code.
๐—™๐—ฟ๐—ฒ๐—ฒ. ๐—ฆ๐—ฒ๐—น๐—ณ-๐—ฝ๐—ฎ๐—ฐ๐—ฒ๐—ฑ. ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ-๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ถ๐—ป๐—ด.

๐Ÿ‘‰ Apply now: https://go.readytensor.ai/cert-593-agentic-ai-certification

React โ™ฅ๏ธ for more useful resources
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Data Science Essential Libraries โœ…
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Python Project Ideas ๐Ÿ‘†
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Python Code to remove Image Background
โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”-
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 ๐Ÿ‘๐Ÿ‘
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Random Module in Python ๐Ÿ‘†
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