How I’m Preparing for ML / Data Science Interviews (Real-World Roadmap) скачать в хорошем качестве

How I’m Preparing for ML / Data Science Interviews (Real-World Roadmap)

In this video, I share my *complete, practical roadmap for preparing ML & Data Science interviews* — based on how experienced ML engineers *actually prepare for real roles*, not just interviews. This is NOT theory overload. This is a *real, structured plan* using *free resources* that actually work. 📌 What this video covers: • How to structure ML/DS interview preparation • Best FREE platforms to learn ML & Data Science • Kaggle Learn — what courses to take & in what order • Google’s free ML & Data Analytics resources • Skills interviewers actually test (not just algorithms) • How to prepare for case studies & real-world ML questions • Ethics, explainability & time series — often ignored but important ━━━━━━━━━━━━━━━━━━ 🚀 FREE LEARNING PLATFORMS ━━━━━━━━━━━━━━━━━━ 🔹 Kaggle Learn (Free Micro-Courses) • Python • Pandas • Intro & Intermediate Machine Learning • Feature Engineering • Deep Learning & Computer Vision • SQL (Intro + Advanced) • Time Series • ML Explainability • AI Ethics • Reinforcement Learning 🔹 Google Free Courses • Google Machine Learning Crash Course • Google Data Analytics Certificate • TensorFlow Developer Certificate Prep 📍 Full detailed roadmap: https://www.kaggle.com/discussions/ge... This roadmap is ideal for: ✔ ML / DS interview preparation ✔ Students & career switchers ✔ Self-taught learners ✔ Engineers preparing for real ML roles 💬 Comment your current level (Beginner / Intermediate / Advanced) 👍 Like & Subscribe for more ML, Kaggle, Interview & Career content