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Apr 23, 2026, 09:49 AM

📷 Photo

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗿𝗲 𝗵𝗶𝗴𝗵𝗹𝘆 𝗱𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗶𝗻 𝟮𝟬𝟮𝟲😍

Learn Data Science and AI Taught by Top Tech professionals

60+ Hiring Drives Every Month

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- 100% Job Assistance
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764

Apr 23, 2026, 09:49 AM

List of most asked Programming Interview Questions.

Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.

Arrays

- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?

Linked Lists

- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?

Strings

- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?

Binary Trees

- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?

Graph

- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.

Dynamic Programming

1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?

Best DSA RESOURCES: https://topmate.io/coding/886874

All the best 👍👍

Apr 23, 2026, 09:49 AM

Learn for free ✅

HTML — https://www.w3schools.com/html
CSS — http://CSS-tricks.com/
JavaScript — http://LearnJavaScript.online/
DSA --- https://t.me/dsabooks
Git, GitHub -- http://LearnGitBranching.js.org/
React — http://React-tutorial.app/
API — http://RapidAPI.com/comics
SQL — http://SQLbolt.com/
Python -- https://t.me/pythondevelopersindia
PHP --- https://bit.ly/3QkY3wW
ML -- https://developers.google.com/machine-learning/crash-course
AI -- http://microsoft.github.io/AI-For-Beginners

ENJOY LEARNING 👍👍

1,200

Apr 23, 2026, 09:49 AM

📷 Photo

𝗧𝗼𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗮 𝗛𝗶𝗴𝗵-𝗣𝗮𝘆𝗶𝗻𝗴 𝗝𝗼𝗯 𝗶𝗻 𝟮𝟬𝟮𝟲🔥

Learn from scratch → Build real projects → Get placed

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🤝 500+ Hiring Partners
💼 Avg Salary: ₹7.4 LPA
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1,130

Apr 23, 2026, 09:49 AM

🗂 14 free Mathematics Course for AI

1. Mathematics for Computer Science (MIT)
https://www.youtube.com/playlist?list=PLUl4u3cNGP61VNvICqk2HXJTonnKgAc9d

2. Single Variable Calculus (MIT)
https://www.youtube.com/playlist?list=PL590CCC2BC5AF3BC1

3. Multivariable Calculus (MIT)
https://www.youtube.com/playlist?list=PL4C4C8A7D06566F38

4. Introduction to Probability (MIT)
https://www.youtube.com/playlist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6

5. Statistics for Applications (MIT)
https://www.youtube.com/playlist?list=PLUl4u3cNGP60uVBMaoNERc6knT_MgPKS0

6. Probability and Statistics (MIT)
https://www.youtube.com/playlist?list=PLl8XY7QVSa4aUyZAtL2Hlf_mx3LaSix9B

7. Linear Algebra (MIT)
https://www.youtube.com/playlist?list=PL221E2BBF13BECF6C

8. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT)
https://youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k&si=V3OqnttNNB30Nue8

9. Matrix Calculus For Machine Learning And Beyond (MIT)
https://youtube.com/playlist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE&si=-ri6Wx7_ijUvlRBI

10. Mathematics for Machine Learning Specialization (Imperial College London)
https://www.youtube.com/watch?v=0z6AhrOSrRs

11. Math for Machine Learning (Weights & Biases)
https://youtube.com/playlist?list=PLD80i8An1OEGZ2tYimemzwC3xqkU0jKUg&si=zLmx4HA6YLLYlt-_

12. Essence of linear algebra (3Blue1Brown)
https://youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab&si=avi8v0JoaXrNZNpD

13. Essence of calculus (3Blue1Brown)
https://youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr&si=x5sWaXSfL4on_MEM

14. Differential equations (3Blue1Brown)
https://youtube.com/playlist?list=PLZHQObOWTQDNPOjrT6KVlfJuKtYTftqH6&si=-ID27MWnKJC1GV5T

Save & React with ♥️.

Apr 23, 2026, 09:49 AM

Freshers are getting paid 10 - 15 Lakhs by learning AI & ML skill

📢 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗔𝗹𝗲𝗿𝘁 – 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴

Open for all. No Coding Background Required

📊 Learn AI/ML from Scratch
🤖 AI Tools & Automation
📈 Build real world Projects for job ready portfolio
🎓 Vishlesan i-Hub, IIT Patna Certification Program

🔥Deadline :- 12th April

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.
Get Placement Assistance With 5000+ Companies from Masai School

1,210

Apr 23, 2026, 09:49 AM

Age of Programming Languages👨🏻‍💻

🦅 Swift (11 years old) (2014)
🚀 Kotlin (13 years old) (2011)
🦀 Rust (14 years old) (2010)
🐹 Go (15 years old) (2009)
🔷 TypeScript (12 years old) (2012)
🎸 C# (24 years old) (2000)
💎 Ruby (29 years old) (1995)
☕ Java (29 years old) (1995)
🌐 JavaScript (29 years old) (1995)
🐘 PHP (30 years old) (1994)
🐍 Python (34 years old) (1991)
🐪 Perl (37 years old) (1987)
🚀 C++ (39 years old) (1985)
📱 Objective-C (40 years old) (1984)
🔍 Prolog (52 years old) (1972)
🗣️ Smalltalk (52 years old) (1972)
🖥️ C (52 years old) (1972)
📝 Pascal (54 years old) (1970)
🎓 BASIC (60 years old) (1964)
💼 COBOL (65 years old) (1959)
🤖 Lisp (66 years old) (1958)
📜 Fortran (67 years old) (1957)

1,860

Apr 23, 2026, 09:49 AM

🔰 Git & GitHub Roadmap for Beginners
├── 🧠 What is Version Control? Why Git?
├── ⚙️ Installing Git & Setting up GitHub
├── 📁 Git Basics (init, clone, add, commit)
├── 🌿 Branching & Merging
├── 🔄 Push, Pull, and Fetch
├── 🧠 Understanding Merge Conflicts
├── 🔧 .gitignore & Git Configurations
├── 🧪 Working with Remotes (origin, upstream)
├── 📦 Tagging & Releases
├── 📜 Git Log, Revert, Reset
├── 🧪 Git & GitHub Projects:
│ ├── Portfolio Versioning
│ ├── Team Collaboration on a Blog Project
│ ├── Open-source Contribution to a Repo

Free Resources to learn Git & GitHub 👇👇

http://GitFluence.com/

https://t.me/github_coding

https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43

https://learn.microsoft.com/en-us/training/modules/intro-to-git/

https://docs.github.com/en/get-started/start-your-journey/git-and-github-learning-resources

Join https://t.me/free4unow_backup for more free resources.

ENJOY LEARNING 👍👍

1,940

Apr 23, 2026, 09:49 AM

📷 Photo

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⚠️ Register  Get Ai Certificate for resume

1,960

Apr 23, 2026, 09:49 AM

📷 Photo

𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 - 𝗟𝗲𝗮𝗿𝗻 𝗖𝗼𝗱𝗶𝗻𝗴 𝗙𝗿𝗼𝗺 𝗜𝗜𝗧 𝗔𝗹𝘂𝗺𝗻𝗶🔥

💻 Learn Frontend + Backend from scratch
📂 Build Real Projects (Portfolio Ready)

🌟 2000+ Students Placed
🤝 500+ Hiring Partners
💼 Avg. Rs. 7.4 LPA
🚀 41 LPA Highest Package

📈 Skills = Opportunities = High Salary

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💥 Stop scrolling. Start building yourTech career

1,660

Mar 29, 2026, 05:17 AM

🎯 Step by step AI and ML roadmap with a YouTube playlist 👇

Step 1 - Python programming:
https://youtu.be/eirjjyP2qcQ?si=KuAvg-DuKxMkD7jR

Step 2 - Foundation of AI/ML:
https://youtu.be/VOpETRQGXy0?si=mfJ86zEFHv2VqGrb

Step 3 - Data Science:
https://youtu.be/fM4qTMfCoak?si=AhpjlpEmRAQh9k0g

Step 4 - Gen AI + LLM foundation:
https://youtu.be/pSVk-5WemQ0?si=7tb-RGCSxwrXV5E2

Step 5 - LangChain + LangGraph:
https://youtu.be/yC36gN-rqjo?si=43HnisWd1V1IfvRM

Step 6 - Model Context Protocol:
https://youtu.be/3_TN1i3MTEU?si=nkp-nGv-MN0X9Ukb

Step 7 - Google ADK + A2A:
https://youtu.be/mFkw3p5qSuA?si=cTJZiYX7L1ZdVwOc


React '❤️' for more such content!

Mar 29, 2026, 05:17 AM

🎓 5 Free AI Courses by Google

1️⃣ Introduction to Generative AI
🔗 https://www.skills.google/course_templates/536

2️⃣ Introduction to Large Language Models (LLM)
🔗 https://www.skills.google/course_templates/539

3️⃣ Introduction to Responsible AI
🔗 https://www.skills.google/course_templates/554

4️⃣ GenAI Bootcamp by Google
🔗 https://cloudonair.withgoogle.com/gen-ai-bootcamp

5️⃣ Google AI Essentials
🔗 https://www.skills.google/paths/2336

Double Tap ♥️ For More

1,070

Mar 29, 2026, 05:17 AM

📷 Photo

Free course on autonomous AI agents

Teaches not just text generation, but the creation of systems that understand the task, plan steps, and execute actions.

What's inside?
- how AI agents are structured and how they differ from regular LLMs
- tools and functions that the agent controls
- planning and reasoning
- memory and context in agents
- RAG and agent architectures
- multi-agent systems
- practical cases and production patterns

Who it's suitable for:
- developers who want to build autonomous AI systems
- product managers and analysts who need to understand the architecture
- anyone who wants to quickly get started with agentic AI

Why it's useful:
- agents can make decisions, call APIs, collect data, and automate complex tasks
- the course is offered for free, although it used to be paid
https://github.com/aishwaryanr/awesome-generative-ai-guide/tree/main/free_courses/agentic_ai_crash_course

Mar 29, 2026, 05:17 AM

📷 Photo

𝗙𝗿𝗲𝘀𝗵𝗲𝗿𝘀 𝗖𝗮𝗻 𝗚𝗲𝘁 𝗮 𝟯𝟬 𝗟𝗣𝗔 𝗝𝗼𝗯 𝗢𝗳𝗳𝗲𝗿 𝘄𝗶𝘁𝗵 𝗔𝗜 & 𝗗𝗦 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻😍

IIT Roorkee offering AI & Data Science Certification Program

💫Learn from IIT ROORKEE Professors
✅ Students & Fresher can apply
🎓 IIT Certification Program
💼 5000+ Companies Placement Support

Deadline: 22nd March 2026

📌 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇 :-

https://pdlink.in/4kucM7E

Big Opportunity, Do join asap!

1,050

Mar 29, 2026, 05:17 AM

Here's a good list of cheat sheets for programmers (all free):

Data Science Cheatsheet

https://github.com/aaronwangy/Data-Science-Cheatsheet

SQL Cheatsheet

http://sqltutorial.org/sql-cheat-sheet

https://t.me/sqlspecialist

https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf

Java Programming Cheatsheet

https://introcs.cs.princeton.edu/java/11cheatsheet/

Javascript Cheatsheet

http://quickref.me/javascript.html

https://t.me/javascript_courses

Data Analytics Cheatsheets

https://dataanalytics.beehiiv.com/p/data

Python Cheat sheet

http://quickref.me/python.html

https://t.me/pythondevelopersindia

GIT and Machine Learning Cheatsheet

https://t.me/datasciencefun

HTML Cheatsheet

https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf

http://htmlcheatsheet.com/

CSS Cheatsheet

http://htmlcheatsheet.com/css

jQuery Cheatsheet

https://t.me/webdevelopmentbook

Data Visualization
https://t.me/datasciencefun

ENJOY LEARNING👍👍

Mar 29, 2026, 05:17 AM

📷 Photo

𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗢𝗻 𝗕𝘆 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 😍

Choose the Right Career Path in 2026

Learn → Level Up → Get Hired

🎯 Join this FREE Career Guidance Session & find:
✔ The right tech career for YOU
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✔ Step-by-step roadmap to get a job

👇 𝗦𝗮𝘃𝗲 𝘆𝗼𝘂𝗿 𝘀𝗽𝗼𝘁 𝗻𝗼𝘄 (𝗟𝗶𝗺𝗶𝘁𝗲𝗱 𝘀𝗲𝗮𝘁𝘀)

https://pdlink.in/4sNAyhW

Date & Time :- 18th March 2026 , 7:00 PM

910

Mar 29, 2026, 05:17 AM

🖥 Website To Learn Programming & Data Analytics

Learn HTML :- http://html.com/
Learn CSS :- http://css-tricks.com/
Learn Tailwind CSS :- http://tailwindcss.com/
Learn JavaScript :- http://imp.i115008.net/mgGagX
Learn Bootstrap :- http://getbootstrap.com/
Learn DSA :- https://t.me/dsabooks
Learn Git :- http://git-scm.com/
Learn React :- http://react-tutorial.app/
Learn API :- http://rapidapi.com/learn
Learn Python :- https://t.me/pythondevelopersindia
Learn SQL :- https://t.me/sqlspecialist
Learn Web3 :- http://learnweb3.io/
Learn JQuery :- http://learn.jquery.com/
Learn ExpressJS :- http://expressjs.com/
Learn NodeJS :- http://nodejs.dev/learn
Learn MongoDB :- http://learn.mongodb.com/
Learn PHP :- http://phptherightway.com/
Learn Golang :- http://learn-golang.org/
Learn Power BI :- https://t.me/powerbi_analyst
Learn Data Analytics:- https://t.me/learndataanalysis
Learn Excel:- https://t.me/excel_data

Join for more free resources: https://t.me/free4unow_backup

ENJOY LEARNING 👍👍

Mar 29, 2026, 05:17 AM

SQL Detailed Roadmap
|
| | |-- Fundamentals
| |-- Introduction to Databases
| | |-- What SQL does
| | |-- Relational model
| | |-- Tables, rows, columns
| |-- Keys and Constraints
| | |-- Primary keys
| | |-- Foreign keys
| | |-- Unique and check constraints
| |-- Normalization
| | |-- 1NF, 2NF, 3NF
| | |-- ER diagrams

| | |-- Core SQL
| |-- SQL Basics
| | |-- SELECT, WHERE, ORDER BY
| | |-- GROUP BY and HAVING
| | |-- JOINS: INNER, LEFT, RIGHT, FULL
| |-- Intermediate SQL
| | |-- Subqueries
| | |-- CTEs
| | |-- CASE statements
| | |-- Aggregations
| |-- Advanced SQL
| | |-- Window functions
| | |-- Analytical functions
| | |-- Ranking, moving averages, lag and lead
| | |-- UNION, INTERSECT, EXCEPT

| | |-- Data Management
| |-- Data Types
| | |-- Numeric, text, date, JSON
| |-- Indexes
| | |-- B tree and hash indexes
| | |-- When to create indexes
| |-- Transactions
| | |-- ACID properties
| |-- Views
| | |-- Standard views
| | |-- Materialized views

| | |-- Database Design
| |-- Schema Design
| | |-- Star schema
| | |-- Snowflake schema
| |-- Fact and Dimension Tables
| |-- Constraints for clean data

| | |-- Performance Tuning
| |-- Query Optimization
| | |-- Execution plans
| | |-- Index usage
| | |-- Reducing scans
| |-- Partitioning
| | |-- Horizontal partitioning
| | |-- Sharding basics

| | |-- SQL for Analytics
| |-- KPI calculations
| |-- Cohort analysis
| |-- Funnel analysis
| |-- Churn and retention tables
| |-- Time based aggregations
| |-- Window functions for metrics

| | |-- SQL for Data Engineering
| |-- ETL Workflows
| | |-- Staging tables
| | |-- Transformations
| | |-- Incremental loads
| |-- Data Warehousing
| | |-- Snowflake
| | |-- Redshift
| | |-- BigQuery
| |-- dbt Basics
| | |-- Models
| | |-- Tests
| | |-- Lineage

| | |-- Tools and Platforms
| |-- PostgreSQL
| |-- MySQL
| |-- SQL Server
| |-- Oracle
| |-- SQLite
| |-- Cloud SQL
| |-- BigQuery UI
| |-- Snowflake Worksheets

| | |-- Projects
| |-- Build a sales reporting system
| |-- Create a star schema from raw CSV files
| |-- Design a customer segmentation query
| |-- Build a churn dashboard dataset
| |-- Optimize slow queries in a sample DB
| |-- Create an analytics pipeline with dbt

| | |-- Soft Skills and Career Prep
| |-- SQL interview patterns
| |-- Joins practice
| |-- Window function drills
| |-- Query writing speed
| |-- Git and GitHub
| |-- Data storytelling

| | |-- Bonus Topics
| |-- NoSQL intro
| |-- Working with JSON fields
| |-- Spatial SQL
| |-- Time series tables
| |-- CDC concepts
| |-- Real time analytics

| | |-- Community and Growth
| |-- LeetCode SQL
| |-- Kaggle datasets with SQL
| |-- GitHub projects
| |-- LinkedIn posts
| |-- Open source contributions

Free Resources to learn SQL

• W3Schools SQL
https://www.w3schools.com/sql/

• SQL Programming
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v

• SQL Notes
https://whatsapp.com/channel/0029Vb6hJmM9hXFCWNtQX944

• Mode Analytics SQL tutorials
https://mode.com/sql-tutorial/

• Data Analytics Resources
https://t.me/sqlspecialist

• HackerRank SQL practice
https://www.hackerrank.com/domains/sql

• LeetCode SQL problems
https://leetcode.com/problemset/database/

• Data Engineering Resources
https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C

• Khan Academy SQL basics
https://www.khanacademy.org/computing/computer-programming/sql

• PostgreSQL official docs
https://www.postgresql.org/docs/

• MySQL official docs
https://dev.mysql.com/doc/

• NoSQL Resources
https://whatsapp.com/channel/0029VaxA2hTHgZWe5FpFjm3p

Double Tap ❤️ For More

Mar 29, 2026, 05:17 AM

📷 Photo

🚀 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟲?

Tech companies are hiring developers with React, JavaScript, Node.js & MongoDB skills.

This Full Stack Development Program helps you learn everything from scratch with real projects.

💡 Perfect for:
* Beginners
* Students
* Career switchers

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Mar 29, 2026, 05:17 AM

📷 Photo

🤖 𝗔𝗜 + 𝗗𝗮𝘁𝗮 = 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗝𝗼𝗯𝘀

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📊 Data Analysis
🐍 Python Programming
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5️⃣𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4rMivIA

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934

Mar 26, 2026, 06:27 PM

Data Science Roadmap
|
|-- Core Foundations
| |-- Mathematics
| | |-- Linear Algebra
| | |-- Calculus Basics
| | |-- Probability
| | |-- Statistics
| |
| |-- Programming
| | |-- Python
| | | |-- NumPy
| | | |-- Pandas
| | | |-- Matplotlib
| | | |-- Seaborn
| | |-- R
| | |-- SQL
|
|-- Data Handling
| |-- Data Collection
| | |-- APIs
| | |-- Web Scraping
| | |-- Database Queries
| |
| |-- Data Cleaning
| | |-- Missing Values
| | |-- Outliers
| | |-- Feature Scaling
| | |-- Encoding
|
|-- Exploratory Data Analysis
| |-- Summary Statistics
| |-- Univariate Analysis
| |-- Bivariate Analysis
| |-- Visualizations
| |-- Correlation Checks
|
|-- Machine Learning
| |-- Supervised Learning
| | |-- Regression
| | |-- Classification
| |
| |-- Unsupervised Learning
| | |-- Clustering
| | |-- PCA
| |
| |-- Model Selection
| | |-- Train Test Split
| | |-- Cross Validation
| | |-- Hyperparameter Tuning
|
|-- Advanced Machine Learning
| |-- Ensemble Methods
| | |-- Random Forest
| | |-- XGBoost
| | |-- LightGBM
| |
| |-- Time Series
| | |-- ARIMA
| | |-- LSTM
| |
| |-- NLP
| | |-- Text Preprocessing
| | |-- TF IDF
| | |-- Word Embeddings
| |
| |-- Deep Learning
| | |-- Neural Networks
| | |-- CNN
| | |-- RNN
| | |-- Transformers
|
|-- Big Data
| |-- PySpark
| |-- Hadoop
| |-- Distributed Processing
|
|-- Model Deployment
| |-- Flask
| |-- FastAPI
| |-- Streamlit
| |-- Docker
| |-- Cloud Deployment
|
|-- MLOps
| |-- Experiment Tracking
| |-- Model Monitoring
| |-- CI CD
|
|-- Domain Knowledge
| |-- Finance
| |-- Healthcare
| |-- Retail
| |-- Marketing
|
|-- Ethics
| |-- Bias
| |-- Interpretability
| |-- Fairness

Free Resources to learn Data Science 👇👇

Python
• https://t.me/pythonproz
• https://www.learnpython.org/
• https://pythonprogramming.net/
• https://pandas.pydata.org/docs/

Statistics
• https://whatsapp.com/channel/0029Vat3Dc4KAwEcfFbNnZ3O
• https://www.khanacademy.org/math/statistics-probability
• https://statquest.org/

Machine Learning
• https://whatsapp.com/channel/0029VawtYcJ1iUxcMQoEuP0O
• https://t.me/datasciencefree
• https://scikit-learn.org/stable/tutorial
• https://www.freecodecamp.org/learn/machine-learning-with-python
• https://course.fast.ai/

Deep Learning
• https://www.deeplearning.ai/
• https://playground.tensorflow.org/

Data Visualization
• https://matplotlib.org/stable/tutorials
• https://whatsapp.com/channel/0029VaxaFzoEQIaujB31SO34
• https://seaborn.pydata.org/tutorial.html

SQL
• https://mode.com/sql-tutorial/introduction-to-sql
• https://t.me/mysqldata

Big Data
• https://spark.apache.org/docs/latest
• https://hadoop.apache.org/

Deployment
• https://docs.streamlit.io/
• https://fastapi.tiangolo.com/

Like for more ❤️

ENJOY LEARNING 👍👍

Mar 26, 2026, 06:27 PM

📷 Photo

💻 𝗙𝗥𝗘𝗘 𝗘𝘅𝗰𝗲𝗹 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 – 𝗕𝗲𝘆𝗼𝗻𝗱 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗕𝗮𝘀𝗶𝗰𝘀

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📅 13 March | ⏰ 6 PM

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-

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921

Mar 26, 2026, 06:27 PM

Every programmer Should Watch These videos ☕️👇

java : https://youtu.be/bm0OyhwFDuY
python : https://youtu.be/UrsmFxEIp5k
Git & GitHub : https://youtu.be/hrTQipWp6co
web Development : https://youtu.be/tVzUXW6siu0
DSA : https://youtu.be/0bHoB32fuj0

999

Mar 26, 2026, 06:27 PM

Stanford's Courses on AI & ML (FREE):

❯ CS221 - Artificial Intelligence
❯ CS229 - Machine Learning
❯ CS230 - Deep Learning
❯ CS234 - Reinforcement Learning
❯ CS229M - ML Theory
❯ CS224U - NL Understanding
❯ CS224N - NLP with Deep Learning

All links: 👇

1. CS221 - Artificial Intelligence
https://youtube.com/playlist?list=PLoROMvodv4rOca_Ovz1DvdtWuz8BfSWL2

2. CS229 - Machine Learning
https://youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU

3. CS230 - Deep Learning
https://youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb

4. CS229M - Machine Learning Theory
https://youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh

5. CS234 - Reinforcement Learning
https://youtube.com/playlist?list=PLoROMvodv4rN4wG6Nk6sNpTEbuOSosZdX

6. CS224U - Natural Language Understanding
https://youtube.com/playlist?list=PLoROMvodv4rPt5D0zs3YhbWSZA8Q_DyiJ

7. CS224N - NLP with Deep Learning
https://youtube.com/playlist?list=PLoROMvodv4rOaMFbaqxPDoLWjDaRAdP9D

Double Tap ♥️ for more

Mar 24, 2026, 06:30 PM

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📢 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗔𝗹𝗲𝗿𝘁 – 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜

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🚀 Perfect for Students ,Freshers & Working Professionals

994

Mar 23, 2026, 11:12 AM

📷 Photo

🔥 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻

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𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :-

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🚀 Perfect for Students ,Freshers & Working Professionals

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Mar 23, 2026, 11:12 AM

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Date & Time :- March 10 , 2026 , 7:00 PM

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Mar 23, 2026, 11:12 AM

⚡️ Stanford Released a Free Course on Language Modeling from Scratch

The university is currently teaching CS336: Language Modeling from Scratch - and uploading the full course to YouTube for everyone in real time.

Here’s why it’s a big deal:

• Anyone can learn to build their own language models from zero - completely free
• Full course: from architecture and tokenizers to RL training and scaling
• Explained step-by-step, beginner-friendly (even if you’re new to coding)
• Each lecture includes extra reading, assignments, and slides

📚 Course site: https://web.stanford.edu/class/cs336

▶️ YouTube playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX

1,120

Mar 20, 2026, 12:30 AM

📷 Photo

🚀𝗚𝗲𝘁 𝗧𝗼𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗜𝗜𝗧's & 𝗜𝗜𝗠

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𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇 :-

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𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4rMivIA

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/4ay4wPG

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Mar 20, 2026, 12:30 AM

Free Courses by Cisco & Microsoft 👇👇

🔷Data Analytics.
https://skillsforall.com/course/data-analytics-essentials?courseLang=en-US

🔷Data Science
https://skillsforall.com/course/introduction-data-science?courseLang=en-US

🔷JavaScript
https://skillsforall.com/course/javascript-essentials-1?courseLang=en-US

🔷Python Essentials
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Data science (IBM) -
https://skillsbuild.org/students/course-catalog/data-science

Data Analyst (Microsoft) -
https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/

Python (Microsoft) -
https://learn.microsoft.com/en-us/shows/intro-to-python-development/

📌Join our Community
[ https://whatsapp.com/channel/0029VbB8ROL4inogeP9o8E1l]

Do react ❤️ if you want more content like this

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