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Machine Learning Zoomcamp
Module 1: Introduction to Machine Learning
What is Machine Learning?
Machine Learning vs Rule-Based Systems: What is the Difference?
What is Supervised Machine Learning?
What is CRISP-DM?
Model Selection Process
GitHub Codespaces
Introduction to NumPy
Linear Algebra Refresher
Introduction to Pandas
Summary
Data Engineering Zoomcamp
Module 1: Containerization and Infrastructure as Code
Lecture Notes
DE Module 1 FAQ
Taxi Data FAQ
Git FAQ
Docker FAQ
Docker Compose FAQ
PGCLI FAQ
PostgreSQL FAQ
WSL FAQ
pgAdmin FAQ
Python FAQ
Google Cloud Platform FAQ
GCP VM FAQ
Terraform FAQ
Miscellaneous FAQ
Module 2: Data Ingestion
Lecture Notes
FAQ
Module 3: Data Warehousing
Lecture Notes
FAQ
Module 4: Analytics Engineering
Lecture Notes
FAQ
Module 5: Batch Processing
Lecture Notes
FAQ
Module 6: Stream Processing
Lecture Notes
FAQ
Final Project
Resources
FAQ
Workshop dltHub
Lecture Notes
FAQ
Course FAQ
LLM Zoomcamp
Module 1: Introduction to LLMs and RAG
Lecture 1.1
Lecture 1.2: Configuring Your Environment
Course FAQ
Vocabulary
Large Language Model (LLM)
Retrieval-Augmented Generation (RAG)
Vector Database
DataTalks.Club
DataTalks.Club
Data Engineering Zoomcamp
Module 2: Data Ingestion
Module 2: Workflow Orchestration
Data Lakes and Workflow Orchestration
Workflow orchestration with Kestra
Homework
Module Materials
Access materials
Table of contents
Lecture Notes
FAQ