✅ General Job & Internship Platforms:
LinkedIn Jobs → https://www.linkedin.com/jobs/
Internshala → https://internshala.com/
Naukri.com → https://www.naukri.com/
Indeed → https://www.indeed.com/
Glassdoor → https://www.glassdoor.com/
AngelList (Wellfound) → https://wellfound.com/
SimplyHired → https://www.simplyhired.com/
Monster → https://www.monster.com/
✅ Tech-Specific Platforms:
HackerRank → https://www.hackerrank.com/
LeetCode → https://leetcode.com/
GitHub Jobs → https://github.com/ (Job board retired, but useful for showcasing projects)
Wellfound (formerly AngelList) → https://wellfound.com/
✅ University-Focused Platforms:
Handshake → https://joinhandshake.com/
Chegg Internships → https://www.chegg.com/internships
✅ Freelance & Remote Work Platforms:
Upwork → https://www.upwork.com/
Fiverr → https://www.fiverr.com/
We Work Remotely → https://weworkremotely.com/
📚 Learning + Job Opportunities:
Kaggle → https://www.kaggle.com/
Codeforces → https://codeforces.com/
Turing → https://www.turing.com/
🏢 Company Career Pages (Examples):
Google Careers → https://careers.google.com/
Microsoft Careers → https://careers.microsoft.com/
Amazon Jobs → https://www.amazon.jobs/
Infosys Careers → https://www.infosys.com/careers/
LinkedIn Jobs → https://www.linkedin.com/jobs/
Internshala → https://internshala.com/
Naukri.com → https://www.naukri.com/
Indeed → https://www.indeed.com/
Glassdoor → https://www.glassdoor.com/
AngelList (Wellfound) → https://wellfound.com/
SimplyHired → https://www.simplyhired.com/
Monster → https://www.monster.com/
✅ Tech-Specific Platforms:
HackerRank → https://www.hackerrank.com/
LeetCode → https://leetcode.com/
GitHub Jobs → https://github.com/ (Job board retired, but useful for showcasing projects)
Wellfound (formerly AngelList) → https://wellfound.com/
✅ University-Focused Platforms:
Handshake → https://joinhandshake.com/
Chegg Internships → https://www.chegg.com/internships
✅ Freelance & Remote Work Platforms:
Upwork → https://www.upwork.com/
Fiverr → https://www.fiverr.com/
We Work Remotely → https://weworkremotely.com/
📚 Learning + Job Opportunities:
Kaggle → https://www.kaggle.com/
Codeforces → https://codeforces.com/
Turing → https://www.turing.com/
🏢 Company Career Pages (Examples):
Google Careers → https://careers.google.com/
Microsoft Careers → https://careers.microsoft.com/
Amazon Jobs → https://www.amazon.jobs/
Infosys Careers → https://www.infosys.com/careers/
LinkedIn
LinkedIn Job Search: Find US Jobs, Internships, Jobs Near Me
64% of job seekers get hired through a referral. Use LinkedIn Jobs to boost your chances of getting hired through people you know.
❤1🔥1
Forwarded from Code Biruh©
CI/CD ምንድን ነው?
አንድን ሶፍትዌር ሰርተን ለተጠቃሚ ለማድረስ (Deployment) ስንነሳ ብዙ ጊዜ የምንጨነቀው "ኮዱ ይሰራል ወይ? ስህተት ቢኖሮስ? ሲስተሙ ቢቆምስ?" ብለን ነው። ይህንን ጭንቀት ለማስወገድ የመጣ አንድ ድንቅ አሰራር አለ 👉 CI/CD.
CI/CD (Continuous Integration / Continuous Deployment) ዝም ብሎ ኦቶሜሽን ብቻ አይደለም፤ የሥራ ባህልና አስተሳሰብ ጭምር ነው ።
ባጭሩ CI/CD ማለት የጻፍነውን ኮድ በየጊዜው እርስ በርስ ማገናኘት፣ በራሱ ጊዜ እንዲፈተሽ (Testing) ማድረግ እና ያለምንም ስጋት ለተጠቃሚ እንዲደርስ ማድረግ ነው።
አብዛኛው ጀማሪ Programmers የማያውቃቸው የCI/CD ጥቅሞች፦
➤ የሰውን ስህተት ይቀንሳል፦ ኮዱን ለተጠቃሚ ለማድረስ እኛ በእጃችን የምናደርገውን ጥረት ስለሚያስቀር ስህተቶች እንዳይፈጠሩ ያደርጋል።
➤ Feature Flags፦ ኮዱን ዛሬ አፕሊኬሽኑ ላይ ጭነን (Deploy) ለተጠቃሚዎች ግን በፈለግንበት ሌላ ቀን እንዲታይ ማድረግ እንችላለን።
➤ፈጣን ርምጃ (Rollbacks)፦ አዲሱ ኮድ ችግር ቢፈጥር እንኳን፣ በቅጽበት ወደ ቀድሞው ወደሚሰራው ኮድ ያለምንም መደናገጥ መመለስ ያስችላል።
የCI/CD ስራን ለማቀልጠፍ እንደ GitHub Actions ወይም GitLab CI ያሉ መሣሪያዎችን መጠቀም ስራችንን እጅግ ያቃልሉልናል።
ባጭሩ CI/CD ማለት ለኮዳችሁ እንደ "Autopilot" ነው፤ እናንተ ኮዱን ትጽፋላችሁ፣ እሱ ደግሞ በሰላም ያደርሳል ።
ጽሑፉን ከወደዳችሁት 👍,❤️ አይረሳ። 😊
📌 እስኪ እናንተ ደግሞ ለCI/CD የምትጠቀሙትን Tool ወይም ማወቅ የምትፈልጉትን ጥያቄ comment ላይ ጻፉልን?
✍️ @codebiruh
#CICD #DevOps #Automation #Programming
አንድን ሶፍትዌር ሰርተን ለተጠቃሚ ለማድረስ (Deployment) ስንነሳ ብዙ ጊዜ የምንጨነቀው "ኮዱ ይሰራል ወይ? ስህተት ቢኖሮስ? ሲስተሙ ቢቆምስ?" ብለን ነው። ይህንን ጭንቀት ለማስወገድ የመጣ አንድ ድንቅ አሰራር አለ 👉 CI/CD.
CI/CD (Continuous Integration / Continuous Deployment) ዝም ብሎ ኦቶሜሽን ብቻ አይደለም፤ የሥራ ባህልና አስተሳሰብ ጭምር ነው ።
ባጭሩ CI/CD ማለት የጻፍነውን ኮድ በየጊዜው እርስ በርስ ማገናኘት፣ በራሱ ጊዜ እንዲፈተሽ (Testing) ማድረግ እና ያለምንም ስጋት ለተጠቃሚ እንዲደርስ ማድረግ ነው።
አብዛኛው ጀማሪ Programmers የማያውቃቸው የCI/CD ጥቅሞች፦
➤ የሰውን ስህተት ይቀንሳል፦ ኮዱን ለተጠቃሚ ለማድረስ እኛ በእጃችን የምናደርገውን ጥረት ስለሚያስቀር ስህተቶች እንዳይፈጠሩ ያደርጋል።
➤ Feature Flags፦ ኮዱን ዛሬ አፕሊኬሽኑ ላይ ጭነን (Deploy) ለተጠቃሚዎች ግን በፈለግንበት ሌላ ቀን እንዲታይ ማድረግ እንችላለን።
➤ፈጣን ርምጃ (Rollbacks)፦ አዲሱ ኮድ ችግር ቢፈጥር እንኳን፣ በቅጽበት ወደ ቀድሞው ወደሚሰራው ኮድ ያለምንም መደናገጥ መመለስ ያስችላል።
የCI/CD ስራን ለማቀልጠፍ እንደ GitHub Actions ወይም GitLab CI ያሉ መሣሪያዎችን መጠቀም ስራችንን እጅግ ያቃልሉልናል።
ባጭሩ CI/CD ማለት ለኮዳችሁ እንደ "Autopilot" ነው፤ እናንተ ኮዱን ትጽፋላችሁ፣ እሱ ደግሞ በሰላም ያደርሳል ።
ጽሑፉን ከወደዳችሁት 👍,❤️ አይረሳ። 😊
📌 እስኪ እናንተ ደግሞ ለCI/CD የምትጠቀሙትን Tool ወይም ማወቅ የምትፈልጉትን ጥያቄ comment ላይ ጻፉልን?
✍️ @codebiruh
#CICD #DevOps #Automation #Programming
👍3❤2
𝗧𝗼𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗢𝗳𝗳𝗲𝗿𝗲𝗱 𝗕𝘆 𝗜𝗜𝗧'𝘀 & 𝗜𝗜𝗠 😍
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𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4rMivIA
𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/4ay4wPG
𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/3ZtIZm9
𝗠𝗟 𝗪𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3OD9jI1
✅ Hurry Up...Limited seats only
Placement Assistance With 5000+ companies.
Companies are actively hiring candidates with AI & ML skills.
⏳ Deadline: 28th Feb 2026
𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://pdlink.in/4kucM7E
𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4rMivIA
𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/4ay4wPG
𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/3ZtIZm9
𝗠𝗟 𝗪𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3OD9jI1
✅ Hurry Up...Limited seats only
❤1
📌 Practice your coding skills here 👇
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12. Coderbyte
13. Project Euler
14. SoloLearn
15. Codewars
16. DevChallenges
17. The Odin Project
18. Practice.dev
19. Pluralsight
20. CodeCombat
21. AlgoExpert
22. Programiz
23. Hack The Box
24. Edabit
25. Exercism
1. LeetCode
2. HackerRank
3. CodeSignal
4. CodeChef
5. TopCoder
6. Frontend Mentor
7. freeCodeCamp
8. CodePen
9. GeeksforGeeks
10. W3Schools
11. Scrimba
12. Coderbyte
13. Project Euler
14. SoloLearn
15. Codewars
16. DevChallenges
17. The Odin Project
18. Practice.dev
19. Pluralsight
20. CodeCombat
21. AlgoExpert
22. Programiz
23. Hack The Box
24. Edabit
25. Exercism
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Learn to develop 2D and 3D interactive games in this course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.
🔗 https://lnkd.in/dVYmfSDJ
5. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻
Learn to use machine learning in Python in this introductory course on artificial intelligence.
🔗 https://lnkd.in/dwtEvNWm
That's all folks!
❤2
PROJECT IDEAS ✨
🟢 Beginner Level (Python Foundations)
👉| Number Guessing Game (CLI + GUI)
👉| To-Do List App (File-based / Tkinter)
👉| Weather App using API
👉| Password Generator & Strength Checker
👉| URL Shortener
👉| Calculator with Voice Input
👉| Quiz App with Score Tracking
👉| Basic Web Scraper (News / Jobs)
👉| Expense Tracker
👉| Chatbot using Rule-Based Logic
🟡 Intermediate Level (Data + ML Basics)
👉| Movie Recommendation System
👉| Stock Price Visualization Dashboard
👉| Email Spam Classifier
👉| Resume Parser using NLP
👉| Face Detection App (OpenCV)
👉| Fake News Detection
👉| Handwritten Digit Recognition
👉| Twitter / Reddit Sentiment Analyzer
👉| House Price Prediction
👉| OCR System (Image → Text)
🔵 Advanced Level (AI Systems & Real-World Products)
👉| Voice Assistant (Jarvis-like)
👉| Real-Time Face Recognition System
👉| AI Interview Bot
👉| Autonomous Web Scraping Agent
👉| YouTube Video Summarizer (NLP + LLMs)
👉| AI Study Planner
👉| ChatGPT-powered Customer Support Bot
👉| Recommendation Engine with Deep Learning
👉| Fraud Detection System
👉| Document Question Answering System
🔴 Expert / Startup-Level (AI Agents & Full Products)
👉| Multi-Agent Task Automation System
👉| AI Coding Assistant (like Copilot mini)
👉| Personalized Learning AI Coach
👉| Autonomous Trading Bot
👉| AI Content Creation Pipeline (Reels, Blogs, Shorts)
👉| AI Research Assistant
👉| Smart Resume Matching System
👉| AI SaaS for Social Media Automation
👉| Real-Time Speech Translation System
👉| End-to-End AI Search Engine
🟢 Beginner Level (Python Foundations)
👉| Number Guessing Game (CLI + GUI)
👉| To-Do List App (File-based / Tkinter)
👉| Weather App using API
👉| Password Generator & Strength Checker
👉| URL Shortener
👉| Calculator with Voice Input
👉| Quiz App with Score Tracking
👉| Basic Web Scraper (News / Jobs)
👉| Expense Tracker
👉| Chatbot using Rule-Based Logic
🟡 Intermediate Level (Data + ML Basics)
👉| Movie Recommendation System
👉| Stock Price Visualization Dashboard
👉| Email Spam Classifier
👉| Resume Parser using NLP
👉| Face Detection App (OpenCV)
👉| Fake News Detection
👉| Handwritten Digit Recognition
👉| Twitter / Reddit Sentiment Analyzer
👉| House Price Prediction
👉| OCR System (Image → Text)
🔵 Advanced Level (AI Systems & Real-World Products)
👉| Voice Assistant (Jarvis-like)
👉| Real-Time Face Recognition System
👉| AI Interview Bot
👉| Autonomous Web Scraping Agent
👉| YouTube Video Summarizer (NLP + LLMs)
👉| AI Study Planner
👉| ChatGPT-powered Customer Support Bot
👉| Recommendation Engine with Deep Learning
👉| Fraud Detection System
👉| Document Question Answering System
🔴 Expert / Startup-Level (AI Agents & Full Products)
👉| Multi-Agent Task Automation System
👉| AI Coding Assistant (like Copilot mini)
👉| Personalized Learning AI Coach
👉| Autonomous Trading Bot
👉| AI Content Creation Pipeline (Reels, Blogs, Shorts)
👉| AI Research Assistant
👉| Smart Resume Matching System
👉| AI SaaS for Social Media Automation
👉| Real-Time Speech Translation System
👉| End-to-End AI Search Engine
❤3
🔤 A–Z of Programming 💻
A – Array
A data structure that stores a collection of elements of the same type, accessed by index.
B – Binary
A base-2 number system using 0s and 1s, the foundation of how computers represent data and perform operations.
C – Class
A blueprint in object-oriented programming for creating objects, defining attributes and methods.
D – Data Structure
An organization of data for efficient access and modification, like lists or trees.
E – Exception
An error or unexpected event during program execution that can be handled to prevent crashes.
F – Function
A reusable block of code that performs a specific task, often taking inputs and returning outputs.
G – Git
A version control system for tracking changes in code, enabling collaboration and history management.
H – HashMap/Hash Table
A data structure storing key-value pairs for fast lookups using hashing.
I – Inheritance
A mechanism where a class inherits properties and methods from a parent class in OOP.
J – JavaScript
A versatile language for web development, handling client-side interactivity and server-side with Node.js.
K – Keyword
A reserved word in a language with special meaning, like "if" or "for", not usable as variable names.
L – Loop
A control structure repeating code until a condition is met, such as for or while loops.
M – Modulus
An operator (%) returning the remainder of division, useful for cycles or checks.
N – Null
A special value indicating absence of data or no object reference.
O – Object
An instance of a class containing data (attributes) and behavior (methods) in OOP.
P – Pointer
A variable storing the memory address of another variable for direct access.
Q – Queue
A FIFO (First-In-First-Out) data structure for processing items in order.
R – Recursion
A function calling itself to solve smaller instances of a problem.
S – Stack
A LIFO (Last-In-First-Out) data structure, like a stack of plates.
T – Testing
Verifying a program's correctness through unit tests, integration, and more.
U – Unicode
A standard encoding characters from all writing systems for global text handling.
V – Variable
A named storage for data that can change during program execution.
W – While Loop
Repeats code while a condition remains true, offering flexible iteration.
X – XOR
A logical operator true if operands differ, used in cryptography and checks.
Y – Yield
A keyword returning a value from a generator, enabling lazy iteration.
Z – Zeroes (numpy.zeros)
Creates an array filled with zeros, useful for initialization.
Double Tap ♥️ For More
A – Array
A data structure that stores a collection of elements of the same type, accessed by index.
B – Binary
A base-2 number system using 0s and 1s, the foundation of how computers represent data and perform operations.
C – Class
A blueprint in object-oriented programming for creating objects, defining attributes and methods.
D – Data Structure
An organization of data for efficient access and modification, like lists or trees.
E – Exception
An error or unexpected event during program execution that can be handled to prevent crashes.
F – Function
A reusable block of code that performs a specific task, often taking inputs and returning outputs.
G – Git
A version control system for tracking changes in code, enabling collaboration and history management.
H – HashMap/Hash Table
A data structure storing key-value pairs for fast lookups using hashing.
I – Inheritance
A mechanism where a class inherits properties and methods from a parent class in OOP.
J – JavaScript
A versatile language for web development, handling client-side interactivity and server-side with Node.js.
K – Keyword
A reserved word in a language with special meaning, like "if" or "for", not usable as variable names.
L – Loop
A control structure repeating code until a condition is met, such as for or while loops.
M – Modulus
An operator (%) returning the remainder of division, useful for cycles or checks.
N – Null
A special value indicating absence of data or no object reference.
O – Object
An instance of a class containing data (attributes) and behavior (methods) in OOP.
P – Pointer
A variable storing the memory address of another variable for direct access.
Q – Queue
A FIFO (First-In-First-Out) data structure for processing items in order.
R – Recursion
A function calling itself to solve smaller instances of a problem.
S – Stack
A LIFO (Last-In-First-Out) data structure, like a stack of plates.
T – Testing
Verifying a program's correctness through unit tests, integration, and more.
U – Unicode
A standard encoding characters from all writing systems for global text handling.
V – Variable
A named storage for data that can change during program execution.
W – While Loop
Repeats code while a condition remains true, offering flexible iteration.
X – XOR
A logical operator true if operands differ, used in cryptography and checks.
Y – Yield
A keyword returning a value from a generator, enabling lazy iteration.
Z – Zeroes (numpy.zeros)
Creates an array filled with zeros, useful for initialization.
Double Tap ♥️ For More
❤2
🔥 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻
Upgrade your career with one of the most in-demand tech skills of 2026!
✔ Artificial Intelligence
✔ Machine Learning
✔ Python for Data Science
✔ Real-World Projects
🎓 Get Certified & Build Your Tech Career
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :-
https://pdlink.in/4qHVFkI
🚀 Perfect for Students ,Freshers & Working Professionals
Upgrade your career with one of the most in-demand tech skills of 2026!
✔ Artificial Intelligence
✔ Machine Learning
✔ Python for Data Science
✔ Real-World Projects
🎓 Get Certified & Build Your Tech Career
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :-
https://pdlink.in/4qHVFkI
🚀 Perfect for Students ,Freshers & Working Professionals
❤1
Rust free courses and learning materials
Non-Video tutorials:
Rust Tutorial
by University of Virginia (cs4414 Spring 2014.)
Authors: Alex Lamana, Rob Michaels, Wil Thomason, and David Evans for
http://aml3.github.io/RustTutorial/html/toc.html
24daysofrust
by Zbigniew Siciarz
http://zsiciarz.github.io/24daysofrust/index.html
Introduction to Rust Tutorial
by CoderHQ
https://www.koderhq.com/tutorial/rust/#tutorial-list
Take your first steps with Rust
by Microsoft
⏰ 5 hr 31 min
📚 11 Modules
https://docs.microsoft.com/en-us/learn/paths/rust-first-steps/
Non-Video tutorials:
Rust Tutorial
by University of Virginia (cs4414 Spring 2014.)
Authors: Alex Lamana, Rob Michaels, Wil Thomason, and David Evans for
http://aml3.github.io/RustTutorial/html/toc.html
24daysofrust
by Zbigniew Siciarz
http://zsiciarz.github.io/24daysofrust/index.html
Introduction to Rust Tutorial
by CoderHQ
https://www.koderhq.com/tutorial/rust/#tutorial-list
Take your first steps with Rust
by Microsoft
⏰ 5 hr 31 min
📚 11 Modules
https://docs.microsoft.com/en-us/learn/paths/rust-first-steps/
❤1
🎯 7 best YouTube channels to learn AI from scratch 👇
1/ DeepLearning AI:
https://www.youtube.com/c/DeepLearningAI
2/ Krish Naik:
https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig
3/ StatQuest with Josh Starmer:
https://www.youtube.com/c/joshstarmer
4/ 3Blue1Brown:
https://www.youtube.com/c/3blue1brown
5/ FreeCodeCamp
https://www.youtube.com/c/Freecodecamp
6/ Yannic Kilcher:
https://www.youtube.com/c/YannicKilcher
7/ IBM Technology:
https://www.youtube.com/c/IBMTechnology
1/ DeepLearning AI:
https://www.youtube.com/c/DeepLearningAI
2/ Krish Naik:
https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig
3/ StatQuest with Josh Starmer:
https://www.youtube.com/c/joshstarmer
4/ 3Blue1Brown:
https://www.youtube.com/c/3blue1brown
5/ FreeCodeCamp
https://www.youtube.com/c/Freecodecamp
6/ Yannic Kilcher:
https://www.youtube.com/c/YannicKilcher
7/ IBM Technology:
https://www.youtube.com/c/IBMTechnology
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🎯If you want to survive in AI era, you must complete these 5 Free AI Courses by google before the 2026 ends 👇
1/ Introduction to Generative AI:
https://www.skills.google/course_templates/536
2/ Introduction to LLM:
https://www.skills.google/course_templates/539
3/ Introduction to Responsible AI:
https://www.skills.google/course_templates/554
4/ GenAI Bootcamp:
https://cloudonair.withgoogle.com/gen-ai-bootcamp
5/ Google AI Essentials:
https://www.skills.google/paths/2336
1/ Introduction to Generative AI:
https://www.skills.google/course_templates/536
2/ Introduction to LLM:
https://www.skills.google/course_templates/539
3/ Introduction to Responsible AI:
https://www.skills.google/course_templates/554
4/ GenAI Bootcamp:
https://cloudonair.withgoogle.com/gen-ai-bootcamp
5/ Google AI Essentials:
https://www.skills.google/paths/2336
❤1
⭐⭐⭐ Advance Level Data science Projects ⭐⭐⭐
1) Identify your Digits Dataset : https://www.kaggle.com/c/digit-recognizer/data
2) Recommendation Engine : https://cseweb.ucsd.edu/~jmcauley/datasets.html
3) Visual QA : https://visualqa.org/download.html
4) Vox Celebrity : http://www.robots.ox.ac.uk/~vgg/data/voxceleb/
5) Breast cancer classification : https://www.kaggle.com/martinab/breast-cancer-classification-wisconsin-dataset
6) Traffic signals : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
7) Image caption generator : https://academictorrents.com/details/9dea07ba660a722ae1008c4c8afdd303b6f6e53b
1) Identify your Digits Dataset : https://www.kaggle.com/c/digit-recognizer/data
2) Recommendation Engine : https://cseweb.ucsd.edu/~jmcauley/datasets.html
3) Visual QA : https://visualqa.org/download.html
4) Vox Celebrity : http://www.robots.ox.ac.uk/~vgg/data/voxceleb/
5) Breast cancer classification : https://www.kaggle.com/martinab/breast-cancer-classification-wisconsin-dataset
6) Traffic signals : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
7) Image caption generator : https://academictorrents.com/details/9dea07ba660a722ae1008c4c8afdd303b6f6e53b
Kaggle
Digit Recognizer
Learn computer vision fundamentals with the famous MNIST data
❤1
Forwarded from Tech Nerd (Tech Nerd)
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A lot of folks on X have been asking how I’m shipping every day… this is how I get ideas btw 👉👈
@selfmadecoder
@selfmadecoder
❤1
Harvard University offers a ton of FREE online courses.
From Computer Science to Artificial Intelligence.
Here are 10 FREE courses you don't want to miss
1. Introduction to Computer Science
An introduction to the intellectual enterprises of computer science and the art of programming.
Check here 👇
https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0
2. Web Programming with Python and JavaScript
This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Check here 👇
https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0
3. Introduction to Programming with Scratch
A gentle introduction to programming that prepares you for subsequent courses in coding.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-programming-scratch?delta=0
4. Introduction to Programming with Python
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Check here 👇
https://edx.org/course/cs50s-introduction-to-programming-with-python
5. Understanding Technology
This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons.
Check here 👇
https://pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0
6. Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0
7. Introduction to Game Development
Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-game-development?delta=0
8. CS50's Computer Science for Business Professionals
This is CS50’s introduction to computer science for business professionals.
Check here 👇
https://pll.harvard.edu/course/cs50s-computer-science-business-professionals-0?delta=0
9. Mobile App Development with React Native
Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.
Check here 👇
https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native?delta=0
10. Introduction to Data Science with Python
Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.
Check here 👇
https://pll.harvard.edu/course/introduction-data-science-python?delta=0
From Computer Science to Artificial Intelligence.
Here are 10 FREE courses you don't want to miss
1. Introduction to Computer Science
An introduction to the intellectual enterprises of computer science and the art of programming.
Check here 👇
https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0
2. Web Programming with Python and JavaScript
This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Check here 👇
https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0
3. Introduction to Programming with Scratch
A gentle introduction to programming that prepares you for subsequent courses in coding.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-programming-scratch?delta=0
4. Introduction to Programming with Python
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Check here 👇
https://edx.org/course/cs50s-introduction-to-programming-with-python
5. Understanding Technology
This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons.
Check here 👇
https://pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0
6. Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0
7. Introduction to Game Development
Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-game-development?delta=0
8. CS50's Computer Science for Business Professionals
This is CS50’s introduction to computer science for business professionals.
Check here 👇
https://pll.harvard.edu/course/cs50s-computer-science-business-professionals-0?delta=0
9. Mobile App Development with React Native
Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.
Check here 👇
https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native?delta=0
10. Introduction to Data Science with Python
Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.
Check here 👇
https://pll.harvard.edu/course/introduction-data-science-python?delta=0
Harvard University
CS50: Introduction to Computer Science | Harvard University
An introduction to the intellectual enterprises of computer science and the art of programming.
❤1
Artificial Neural Networks with Java - 2019.pdf
12.1 MB
Artificial Neural Networks with Java
Igor Livshin, 2019
Igor Livshin, 2019
❤1
Some helpful Data science projects for beginners
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
BEST RESOURCES TO LEARN DATA SCIENCE AND MACHINE LEARNING FOR FREE
https://developers.google.com/machine-learning/crash-course
https://www.kaggle.com/learn/overview
https://forums.fast.ai/t/recommended-python-learning-resources/26888
https://www.fast.ai/
https://imp.i115008.net/JrBjZR
https://ern.li/OP/1qvkxbfaxqj
ENJOY LEARNING 👍👍
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
BEST RESOURCES TO LEARN DATA SCIENCE AND MACHINE LEARNING FOR FREE
https://developers.google.com/machine-learning/crash-course
https://www.kaggle.com/learn/overview
https://forums.fast.ai/t/recommended-python-learning-resources/26888
https://www.fast.ai/
https://imp.i115008.net/JrBjZR
https://ern.li/OP/1qvkxbfaxqj
ENJOY LEARNING 👍👍
❤1
Machine Learning in Microservices - 2023.pdf
12.4 MB
Machine Learning in Microservices
Mohamed Abouahmed, 2023
Mohamed Abouahmed, 2023
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