Data-Science-Handbook
This is a repo with links to everything you want to learn about data science, AI & Generative AI and LLMs.
1.1. Problem Statment Defining Bussines Questions
1.2. Data Collection
- 5 Short Courses to Advance Your SQL Skills
- SQL Mastery for Data Scientists: A Comprehensive Guide from Novice to Advanced
1.3. Data Cleaning & Manipulation
- Five Courses to Master Data Cleaning & Feature Engineering
- 5 Top Data Cleaning and Feature Engineering Books For Data Scientists
- 5 Short Courses to Advance Your Pandas Skills
1.4. Data Exploration & Stats
- 5 Best Books To Learn Statistics And Probability For Data Scientists
- A/B Testing Study Plan: From Novice to Upper Intermediate Level
1.5. AI
- Learn AI from Top Universities Through these 10 Courses
- 6 Best Books to Learn Mathematics for Data Science & Machine Learning
- 6 Top University Courses to Learn Mathematics for Machine Learning & Data Science
1.5.1. Machine & Deep Learning
- The Best Book To Build A Strong Machine Learning Foundation
- 5 Best Books to Learn Machine Learning For Data Scientists
- 3 Books To Build A Strong Deep Learning Foundation
1.5.2. Computer Vision
- 5 Top Practical Computer Vision Books
- Top 10 Theoretical & Practical Computer Vision Books
- Learn Computer Vision From Top Universities
- Mastering & Understanding Computer Vision: A Comprehensive Study Roadmap for 2023
1.5.3. Natural Language Processing
- Top Resoruces to Learn & Understand Large Language Models
- From Novice to Expert: A Comprehensive Step-by-Step Study Plan for Mastering LLMs
1.5.4. Time Series Data Analysis
- 10 Top Time Series Courses to Proficient This Important Data Science Skills
- Level Up Your Time Series Analysis Skills with These 5 Books
- 13 Guided Time Series Projects to Build Your Portfolio
1.5.5. Generative AI & LLMs
LLM Basics
LLM From Scratch
- Best Resources On Building Datasets to Trian LLMs
- Mastering Large Language Model (LLM) Fine-Tuning: Top Learning Resources
- 14 Free Large Language Models Fine-Tuning Notebooks
- Best Resources to Learn & Understand Evaluating LLMs
- Overview of LLM Quantization Techniques & Where to Learn Each of Them?
- Top Resources to Learn & Understand RLHF & LLM Alignment
- How to Stay Updated with LLM Research & Industry News?
LLMs In Production
- Best Resoruces to Learn Prompt Engineering
- Top Resources to Master Vector Databases & Building a Vector Storage
- Top Resources to Master RAG: From Basic Level to Advanced
- Top Free Learning Resources to Master LLM Agents
- 5 Free Tools to Run Large Language Models (LLM) Locally on Your Laptop
- Deploying LLMs: Top Learning & Educational Resources to Get Started
- Getting Started with LLM Inference Optimization: Best Resources
- What is LLMOps and How to Get Started With It
- Securing LLMs: Best Learning & Educational Resources
Building LLM Projects
- 10 Large Language Models Projects To Build Your Portfolio
- 10 Guided Large Language Models Projects to Build Your Portfolio
1.6. Model Deployment
- 5 Short Courses Master Deploying Models Into Production
- 10 Top MlOps Books for Data Scientists
- This Book Will Learn You To Scale Deep Learning Models
- Ultimate MLOps Learning Roadmap with Free Learning Resources In 2023
- 5 Top Machine Learning System Design Books for Data Scientists & Machine Learning Engineers
- 7 Top Courses & Books to Learn Dockers & Kubernetes for Data Scientists
1.7. Software Engineering for Data Scientist
- Software Engineering Roadmap For Data Scientists
- Ultimate Free Python For Data Science Roadmap In 2023
- 6 Top Books to Learn Python & Programming for Data Science
- 5 Short Courses to Learn Scripting For Data Science
- 5 Short Courses to Learn Software Engineering Skills for Data Scientists