Greetings 👋!
This repository is your golden ticket 🎟️ for acing data science interviews. Compiled here is a treasure trove 🏆 of topics you're likely to encounter during your data science journey. For better navigation and understanding, we've sorted the syllabus into neat categories.
Dive into our vast collection of over 1000+ questions 📚 across different domains, complete with answers derived from thorough research and my personal insights. Found an error or have suggestions? Feel free to shoot me an email 📧 at sajit9285@gmail.com or connect with me on LinkedIn.
Contributions are always welcome 🤝! If you're itching to add your two cents, just hit me up with a pull request or ping me on LinkedIn.
Happy Learning! 🎓
- 🖥️ Basics of Computer Science
- 💻 Coding Questions (In Python)
- 🧮 Vector and Matrices
- 📚 Calculus and Algorithmic Differentiation
- 🗂️ Basics of Information Theory
- 📊 Descriptive Statistics
- 🎲 Probability
- 🔍 Inferential Statistics
- 📈 Linear Regression
- 📉 Logistic Regression
- 🕸️ Support Vector Machine
- 🌟 Ensemble Techniques
- 🧠 General Concepts in Neural Networks
- 🖼️ Convolutional Neural Networks
- 🔄 Recurrent Neural Networks
- 🔀 Transformers and Advanced Topics
- 👁️ Computer Vision Topics
- 🗣️ Natural Language Processing Questions
- 🤖 Unsupervised Learning
- 📜 SQL Questions