โ *Useful AI Tools for Study & Research* ๐ง ๐ 1๏ธโฃ *ChatGPT (Free GPT-3.5)* ๐ฌ Explain tough topics, generate notes & quizzes. โ Free for all subjects. 2๏ธโฃ *Perplexity AI* ๐ Ask anything, get answers with citations. โ Great
โ *Useful AI Tools for Study & Research* ๐ง ๐ 1๏ธโฃ *ChatGPT (Free GPT-3.5)* ๐ฌ Explain tough topics, generate notes & quizzes. โ Free for all subjects. 2๏ธโฃ *Perplexity AI* ๐ Ask anything, get answers with citations. โ Great
๐ฅ *20 Data Science Interview Questions (with Detailed Answers)* *1. What is Data Science* A multidisciplinary field that extracts insights from structured and unstructured data using statistics, machine learning, and domain expertise. *2. What is the difference between supervised and
โ *How to Get a Data Science Job as a Fresher in 2025* ๐ง ๐ ๐น *Market Trend in 2025:* โข High demand in healthcare, e-commerce, fintech, edtech & AI startups โข Companies want hands-on skills, not just degrees โข
โ *How to Practice English Speaking Daily โ Even Without a Partner!* ๐ฃ๏ธ๐ฌ ๐น *1. Talk to Yourself in English* โ Describe what youโre doing (e.g., “I am brushing my teeth.”) โ Practice speaking thoughts out loud for 5โ10
โ *FREE Tools to Design Graphics & UI* ๐จโจ 1๏ธโฃ *Figma* โค UI/UX design with real-time collaboration โ Free plan with unlimited files 2๏ธโฃ *Canva* โค Drag-and-drop design for social posts, flyers & more โ Huge free template
โ *10 Tips to Improve Your English Speaking Skills* ๐ฃ๏ธโจ 1๏ธโฃ *Practice daily, even if itโs just 5 minutes.* 2๏ธโฃ *Listen to English podcasts or songs.* 3๏ธโฃ *Repeat phrases you hear to improve pronunciation.* 4๏ธโฃ *Talk to yourself in
15 Best Youtube Channels for UX/UI Designers โ๏ธ๐ฅ ๐ฝ๏ธ Flux ๐ฝ๏ธ Atheros Learning ๐ฝ๏ธ DesignCourse ๐ฝ๏ธ Nikhil Pawar ๐ฝ๏ธ Malewicz ๐ฝ๏ธ DesignerUp ๐ฝ๏ธ Ferdi Cildiz ๐ฝ๏ธ vaexperience ๐ฝ๏ธ SkillCharged ๐ฝ๏ธ Punit Chawla ๐ฝ๏ธ LEARNUXID ๐ฝ๏ธ iloveui ๐ฝ๏ธVishnu Basnet ๐ฝ๏ธ
*Machine Learning Engineer Roadmap (Step-by-Step)* (Bookmark this if youโre aiming for ML in 2025) 1. Math & Statistics โณ Linear Algebra, Probability, Descriptive Stats โณ Focus on what powers ML under the hood 2. Programming โณ Python
What ๐ ๐ ๐ฐ๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐ are commonly asked in ๐ฑ๐ฎ๐๐ฎ ๐๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ถ๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐? These are fair game in interviews at ๐๐๐ฎ๐ฟ๐๐๐ฝ๐, ๐ฐ๐ผ๐ป๐๐๐น๐๐ถ๐ป๐ด & ๐น๐ฎ๐ฟ๐ด๐ฒ ๐๐ฒ๐ฐ๐ต. ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐ – Supervised vs. Unsupervised Learning – Overfitting and Underfitting – Cross-validation – Bias-Variance Tradeoff –
โ *Machine Learning Learning Checklist* ๐ค๐ ๐ *Fundamentals* – [ ] Math Essentials (Linear Algebra, Calculus, Probability, Statistics) – [ ] Python Programming – [ ] Data Structures & Algorithms – [ ] Jupyter / Google Colab for experiments