🕵Data Science👨‍💻 Projects/Resources

Top 15 #AI websites for #Interview Preparations for #Jobseekers! 1) Huru.ai AI-powered interview prep with tailored questions. 2) Talkberry.ai Language learning with simulated English job interviews. 3) Interviewigniter.com AI roleplay simulations for post-interview evaluations. 4) AI Mock Interview - (Sqlpad.io) Tailored interview practice with personalized feedback. 5) Rightjoin.co Customized mock interviews based on resumes and job postings. 6) Interviewsby.ai Custom mock interviews with real-time voice feedback. 7) Jobinterview-ai.com Real-time AI-assisted English interview practice. 8) Interview Coach AI-generated job-specific interview questions and guidance. 9) InterviewGPT.ai AI-powered practice sessions and personalized feedback. 10) Interviewai.me AI-generated personalized cover letters and interview questions. 11) Interviewprep-ai.com Streamlined CV integration and customized interview practice. 12) Interview warmup (grow.google) Practice platform for answering interview questions with transcription. 13) Metaview.ai Interview Notes 14) Applyish.com Apply Automatically 15) Hnresumetojobs.com Resume to jobs 16) Matchthaoleai.com Job search

5 Sites to Level Up Your Coding Skills 👨‍💻👩‍💻 🔹 leetcode.com 🔹 hackerrank.com 🔹 w3schools.com 🔹 datasimplifier.com 🔹 hackerearth.com

🤿 Here are this week's five freeCodeCamp resources that are worth your time 🤿 1. freeCodeCamp just published a comprehensive Python for Beginners course, taught by software engineer Dave Gray. You'll learn key Python concepts by building a series of mini projects. By the end of this course, you'll be familiar with Python Data Types, Loops, Modules, and even some Object-Oriented Programming. If you want to learn programming, or brush up on your fundamental skills, this course is an excellent place to start. (9 hour YouTube course): https://www.freecodecamp.org/news/ultimate-beginners-python-course/ 2. Learn to build your own AI Software-as-a-Service platform. In this intermediate course, you'll code an app where your users can drag in a PDF and immediately start chatting with an AI about the document. Along the way, you'll learn how to use Next.js, Tailwind CSS, and OpenAI's API, and Stripe's API. And you'll even learn how to deploy your app using Vercel. (4 hour YouTube course): https://www.freecodecamp.org/news/build-and-deploy-an-ai-saas-with-paid-subscriptions/ 3. And if you want to further improve your Front End Development skills, this course should do the trick. You'll code your own Search Engine-optimized blog, complete with custom fonts, light & dark themes, responsive design, and Markdown-based rendering. You'll learn modern tools like Next.js, Tailwind CSS, and Supabase. (6 hour YouTube course): https://www.freecodecamp.org/news/build-an-seo-optimized-blog-with-next-js 4. One of the most important design decisions you can make is picking the right font. This involves so many style and legibility considerations. But you also want to keep performance in mind. This guide will help you choose the right fonts for your next project, and ensure that they load as quickly as possible for your users. (16 minute read): https://www.freecodecamp.org/news/things-to-consider-when-picking-fonts/ 5. People often ask me: what's the best way to get practical experience as a developer? And I answer: contribute to open source projects. But that's easier said than done. Not only do you need to understand a project's codebase, but you also need to familiarize yourself with open source culture. This guide will help you learn how to communicate with project maintainers. That way you can succeed in getting your contributions merged, so you can get your code running in production. (20 minute read): https://www.freecodecamp.org/news/how-to-contribute-to-open-source/ ━━━━━━━━━━━━━ Share nd support 🤟😉       @new_everything_free 😘

🌭 Free Books and Courses to Learn Artificial Intelligence 🌭 #AI Introduction to AI Free Udacity Course Introduction to Prolog programming for artificial intelligence Free Book Introduction to AI for Business Free Course Artificial Intelligence: Foundations of Computational Agents Free Book Learn Basics about AI Free Udemy Course (4.4 Star ratings out of 5) Amazing AI Reverse Image Search (4.7 Star ratings out of 5) ━━━━━━#Free_Course━━━━━━━ Share nd support 🤟😉 @new_everything_free 😘

30-day Roadmap plan for SQL covers beginner, intermediate, and advanced topics 😄👇 FREE SQL Guide: https://t.me/sqlanalyst/83 Week 1: Beginner Level Day 1-3: Introduction and Setup 1. Day 1: Introduction to SQL, its importance, and various database systems. 2. Day 2: Installing a SQL database (e.g., MySQL, PostgreSQL). 3. Day 3: Setting up a sample database and practicing basic commands. Day 4-7: Basic SQL Queries 4. Day 4: SELECT statement, retrieving data from a single table. 5. Day 5: WHERE clause and filtering data. 6. Day 6: Sorting data with ORDER BY. 7. Day 7: Aggregating data with GROUP BY and using aggregate functions (COUNT, SUM, AVG). Week 2-3: Intermediate Level Day 8-14: Working with Multiple Tables 8. Day 8: Introduction to JOIN operations. 9. Day 9: INNER JOIN and LEFT JOIN. 10. Day 10: RIGHT JOIN and FULL JOIN. 11. Day 11: Subqueries and correlated subqueries. 12. Day 12: Creating and modifying tables with CREATE, ALTER, and DROP. 13. Day 13: INSERT, UPDATE, and DELETE statements. 14. Day 14: Understanding indexes and optimizing queries. Day 15-21: Data Manipulation 15. Day 15: CASE statements for conditional logic. 16. Day 16: Using UNION and UNION ALL. 17. Day 17: Data type conversions (CAST and CONVERT). 18. Day 18: Working with date and time functions. 19. Day 19: String manipulation functions. 20. Day 20: Error handling with TRY...CATCH. 21. Day 21: Practice complex queries and data manipulation tasks. Week 4: Advanced Level Day 22-28: Advanced Topics 22. Day 22: Working with Views. 23. Day 23: Stored Procedures and Functions. 24. Day 24: Triggers and transactions. 25. Day 25: Security and user privileges. 26. Day 26: Performance tuning and query optimization. 27. Day 27: Introduction to NoSQL databases (optional). 28. Day 28: Working with NoSQL databases (optional). Day 29-30: Real-World Applications 29. Day 29: Building a simple application that uses SQL. 30. Day 30: Final review and practice, explore advanced topics in depth, or work on a personal project. Remember to practice regularly, work on small projects, and use online resources and SQL platforms for hands-on experience. Adjust the plan based on your progress and interests, and you'll be well on your way to becoming proficient in SQL! Share with credits: https://t.me/sqlspecialist Hope it helps :)

Free Datasets to practice data science projects 1. Enron Email Dataset Data Link: https://www.cs.cmu.edu/~enron/ 2. Chatbot Intents Dataset Data Link: https://github.com/katanaml/katana-assistant/blob/master/mlbackend/intents.json 3. Flickr 30k Dataset Data Link: https://www.kaggle.com/hsankesara/flickr-image-dataset 4. Parkinson Dataset Data Link: https://archive.ics.uci.edu/ml/datasets/parkinsons 5. Iris Dataset Data Link: https://archive.ics.uci.edu/ml/datasets/Iris 6. ImageNet dataset Data Link: http://www.image-net.org/ 7. Mall Customers Dataset Data Link: https://www.kaggle.com/shwetabh123/mall-customers 8. Google Trends Data Portal Data Link: https://trends.google.com/trends/ 9. The Boston Housing Dataset Data Link: https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html 10. Uber Pickups Dataset Data Link: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city 11. Recommender Systems Dataset Data Link: https://cseweb.ucsd.edu/~jmcauley/datasets.html Source Code: https://bit.ly/37iBDEp 12. UCI Spambase Dataset Data Link: https://archive.ics.uci.edu/ml/datasets/Spambase 13. GTSRB (German traffic sign recognition benchmark) Dataset Data Link: http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset Source Code: https://bit.ly/39taSyH 14. Cityscapes Dataset Data Link: https://www.cityscapes-dataset.com/ 15. Kinetics Dataset Data Link: https://deepmind.com/research/open-source/kinetics 16. IMDB-Wiki dataset Data Link: https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/ 17. Color Detection Dataset Data Link: https://github.com/codebrainz/color-names/blob/master/output/colors.csv 18. Urban Sound 8K dataset Data Link: https://urbansounddataset.weebly.com/urbansound8k.html 19. Librispeech Dataset Data Link: http://www.openslr.org/12 20. Breast Histopathology Images Dataset Data Link: https://www.kaggle.com/paultimothymooney/breast-histopathology-images 21. Youtube 8M Dataset Data Link: https://research.google.com/youtube8m/

Top Platforms for Building Data Science Portfolio Build an irresistible portfolio that hooks recruiters with these free platforms. Landing a job as a data scientist begins with building your portfolio with a comprehensive list of all your projects. To help you get started with building your portfolio, here is the list of top data science platforms. Remember the stronger your portfolio, the better chances you have of landing your dream job. 1. GitHub 2. Kaggle 3. LinkedIn 4. Medium 5. MachineHack 6. DagsHub 7. HuggingFace

Top Platforms for Building Data Science Portfolio Build an irresistible portfolio that hooks recruiters with these free platforms. Landing a job as a data scientist begins with building your portfolio with a comprehensive list of all your projects. To help you get started with building your portfolio, here is the list of top data science platforms. Remember the stronger your portfolio, the better chances you have of landing your dream job. 1. GitHub 2. Kaggle 3. LinkedIn 4. Medium 5. MachineHack 6. DagsHub 7. HuggingFace

AI for beginners https://t.co/eUddKb3Ftp IOT https://t.co/zj4Eiu82ZK Machine Learning https://t.co/XNl4P1GtJn Data Science https://t.co/JPasEGBo5O