Coding Projects
61K subscribers
774 photos
1 video
277 files
376 links
Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning

Managed by: @love_data
Download Telegram
WhatsApp is no longer a platform just for chat.

It's an educational goldmine.

If you do, youโ€™re sleeping on a goldmine of knowledge and community. WhatsApp channels are a great way to practice data science, make your own community, and find accountability partners.

I have curated the list of best WhatsApp channels to learn coding & data science for FREE

Free Courses with Certificate
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029Vamhzk5JENy1Zg9KmO2g

Jobs & Internship Opportunities
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

Web Development
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z

Python Free Books & Projects
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L

Java Free Resources
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s

Coding Interviews
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X

SQL For Data Analysis
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v

Power BI Resources
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c

Programming Free Resources
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17

Data Science Projects
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y

Learn Data Science & Machine Learning
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D

Coding Projects
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VamhFMt7j6fx4bYsX908

Excel for Data Analyst
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
๐Ÿ‘21โค4๐Ÿ”ฅ2๐Ÿฅฐ1
๐Ÿ‘21โค9๐Ÿ‘2๐Ÿ‘Œ1
๐Ÿ˜‚๐Ÿ˜‚
๐Ÿ˜35๐Ÿคฃ27๐Ÿ‘9โค2๐Ÿ”ฅ2๐Ÿ˜ข2๐Ÿ’ฏ2
๐Ÿ‘22โค5๐Ÿ”ฅ2
๐—ง๐—ผ๐—ฝ ๐Ÿญ๐Ÿฑ ๐—š๐—ฎ๐—บ๐—ฒ ๐——๐—ฒ๐˜ƒ ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ๐˜€๐Ÿ‘พ๐ŸŽฎ

1. C++: AAA games (Unreal)
2. C#: Unity, indie game
3. JavaScript: Web game
4. Java: Android game
5. Python: Prototypes (Pygame)
6. Lua: Scripting (Roblox)
7. Swift: iOS games
8. Objective-C: Legacy iOS/macOS
9. Rust: System-level (Amethyst)
10. Go: Multiplayer servers
11. HTML5 + JS: Simple 2D games
12. Kotlin: Android apps
13. Haxe: Cross-platform 2D
14. TypeScript: Scalable web games
15. Ruby: Lightweight 2D games
๐Ÿ‘15๐Ÿ”ฅ7๐Ÿฅด1
๐Ÿš€10 API-based project ideas

1. QR code generator
2. Weather app
3. Translation app
4. Chatbot
5. Geolocation app
6. Messaging app
7. Sentiment analysis
8. COVID tracker
9. URL shortener
10. Music player
๐Ÿ‘32โค8๐Ÿ”ฅ4
Here is how you can explain your project in an interview

When youโ€™re in an interview, itโ€™s super important to know how to talk about your projects in a way that impresses the interviewer. Here are some key points to help you do just that:

โžค ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„:
- Start with a quick summary of the project you worked on. What was it all about? What were the main goals? Keep it short and sweet something you can explain in about 30 seconds.

โžค ๐—ฃ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ ๐—ฆ๐˜๐—ฎ๐˜๐—ฒ๐—บ๐—ฒ๐—ป๐˜:
- What problem were you trying to solve with this project? Explain why this problem was important and needed addressing.

โžค ๐—ฃ๐—ฟ๐—ผ๐—ฝ๐—ผ๐˜€๐—ฒ๐—ฑ ๐—ฆ๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป:
- Describe the solution you came up with. How does it work, and why is it a good fix for the problem?

โžค ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ผ๐—น๐—ฒ:
- Talk about what you specifically did. What were your main tasks? Did you face any challenges, and how did you overcome them? Make sure itโ€™s clear whether you were leading the project, a key player, or supporting the team.

โžค ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ผ๐—ผ๐—น๐˜€:
- Mention the tech and tools you used. This shows your technical know-how and your ability to choose the right tools for the job.

โžค ๐—œ๐—บ๐—ฝ๐—ฎ๐—ฐ๐˜ ๐—ฎ๐—ป๐—ฑ ๐—”๐—ฐ๐—ต๐—ถ๐—ฒ๐˜ƒ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€:
- Share the results of your project. Did it make things better? How? Mention any improvements, efficiencies, or positive feedback you got. This helps show the project was a success and highlights your contribution.

โžค ๐—ง๐—ฒ๐—ฎ๐—บ ๐—–๐—ผ๐—น๐—น๐—ฎ๐—ฏ๐—ผ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป:
- If you worked with a team, talk about how you collaborated. What was your role in the team? How did you communicate and contribute to the teamโ€™s success?

โžค ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ฎ๐—ป๐—ฑ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜:
- Reflect on what you learned from the project. How did it help you grow professionally? What new skills did you gain, and what would you do differently next time?

โžค ๐—ง๐—ถ๐—ฝ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ฃ๐—ฟ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป:
- Be ready with a 30 second elevator pitch about your projects, and also have a five-minute detailed overview ready.
- Know why you chose the project, what your role was, what decisions you made, and how the results compared to what you expected.
- Be clear on the scope of the project whether it was a long-term effort or a quick task.
- If thereโ€™s a pause after you describe the project, donโ€™t hesitate to ask if theyโ€™d like more details or if thereโ€™s a specific part theyโ€™re interested in.

Remember, ๐—ฐ๐—ผ๐—บ๐—บ๐˜‚๐—ป๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ถ๐˜€ ๐—ธ๐—ฒ๐˜†. You might have done great work, but if you donโ€™t explain it well, itโ€™s hard for the interviewer to understand your impact. So, practice explaining your projects with clarity.
๐Ÿ‘16โค9๐Ÿ”ฅ3
๐Ÿ‘15โค2
๐Ÿ‘9
๐Ÿ‘3
List of Python Project Ideas๐Ÿ’ก๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป๐Ÿ -

Beginner Projects

๐Ÿ”น Calculator
๐Ÿ”น To-Do List
๐Ÿ”น Number Guessing Game
๐Ÿ”น Basic Web Scraper
๐Ÿ”น Password Generator
๐Ÿ”น Flashcard Quizzer
๐Ÿ”น Simple Chatbot
๐Ÿ”น Weather App
๐Ÿ”น Unit Converter
๐Ÿ”น Rock-Paper-Scissors Game

Intermediate Projects

๐Ÿ”ธ Personal Diary
๐Ÿ”ธ Web Scraping Tool
๐Ÿ”ธ Expense Tracker
๐Ÿ”ธ Flask Blog
๐Ÿ”ธ Image Gallery
๐Ÿ”ธ Chat Application
๐Ÿ”ธ API Wrapper
๐Ÿ”ธ Markdown to HTML Converter
๐Ÿ”ธ Command-Line Pomodoro Timer
๐Ÿ”ธ Basic Game with Pygame

Advanced Projects

๐Ÿ”บ Social Media Dashboard
๐Ÿ”บ Machine Learning Model
๐Ÿ”บ Data Visualization Tool
๐Ÿ”บ Portfolio Website
๐Ÿ”บ Blockchain Simulation
๐Ÿ”บ Chatbot with NLP
๐Ÿ”บ Multi-user Blog Platform
๐Ÿ”บ Automated Web Tester
๐Ÿ”บ File Organizer

#codingprojects
๐Ÿ‘23โค3๐Ÿ”ฅ2
๐Ÿš€10 API-based project ideas

1. QR code generator
2. Weather app
3. Translation app
4. Chatbot
5. Geolocation app
6. Messaging app
7. Sentiment analysis
8. COVID tracker
9. URL shortener
10. Music player
๐Ÿ‘9
๐Ÿ‘2๐Ÿ‘1
20 Backend Project Ideas๐Ÿ”ฅ

๐Ÿ”นAPI for a Task Management System
๐Ÿ”นTo-Do List API
๐Ÿ”นBlog Platform
๐Ÿ”นMarkdown Note-taking App
๐Ÿ”นOnline Code Compiler API
๐Ÿ”นE-commerce API
๐Ÿ”นURL Shortening Service
๐Ÿ”นChat Application Backend
๐Ÿ”นWeb Scraper CLI
๐Ÿ”นOnline Bookstore
๐Ÿ”นSocial Media API
๐Ÿ”นMusic Streaming App
๐Ÿ”นFitness Workout Tracker
๐Ÿ”นAuthentication and Authorization Service
๐Ÿ”นFile Upload and Management System
๐Ÿ”นRecipe Sharing Platform
๐Ÿ”นEvent Booking System
๐Ÿ”นExpense Tracker API
๐Ÿ”นWeather Forecast Service
๐Ÿ”นOnline Food Ordering System
๐Ÿ‘20โคโ€๐Ÿ”ฅ4
๐Ÿ† โ€“ AI/ML Engineer

Stage 1 โ€“ Python Basics
Stage 2 โ€“ Statistics & Probability
Stage 3 โ€“ Linear Algebra & Calculus
Stage 4 โ€“ Data Preprocessing
Stage 5 โ€“ Exploratory Data Analysis (EDA)
Stage 6 โ€“ Supervised Learning
Stage 7 โ€“ Unsupervised Learning
Stage 8 โ€“ Feature Engineering
Stage 9 โ€“ Model Evaluation & Tuning
Stage 10 โ€“ Deep Learning Basics
Stage 11 โ€“ Neural Networks & CNNs
Stage 12 โ€“ RNNs & LSTMs
Stage 13 โ€“ NLP Fundamentals
Stage 14 โ€“ Deployment (Flask, Docker)
Stage 15 โ€“ Build projects
๐Ÿ‘9โค7
Natural Language Processing Projects.pdf
13.2 MB
Natural Language Processing Projects
Akshay Kulkarni, 2022
Python Machine Learning Projects.pdf
871.9 KB
Python Machine Learning Projects
DigitalOcean, 2022
R Projects For Dummies.pdf
5.6 MB
R Projects for Dummies
Joseph Schmuller, 2018
๐Ÿ‘12โค1