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Data Science
A collection of learning resources for the AI world
DE by DL.AI - C4 W3&4 - Data Transformations & Tech Considerations & Serving
DE by DL.AI - C4 W2 - Data Modeling & Transformations for Machine Learning
DE by DL.AI - C4 W1 - Data Modeling & Transformations for Analytics
DE by DL.AI - C1 W1&2 - Intro to DE & DE Lifecycle and Undercurrents
DS & ML with Mac M-chip
DE by DL.AI - C3 W3 - Queries
DE by DL.AI - C3 W2 - Storage Abstractions
DE by DL.AI - C3 W1 - Storage Ingredients & Storage Systems
DE by DL.AI - C2 W4 - Orchestration, Monitoring, and Automating your data pipelines
DE by DL.AI - C2 W3 - DataOps
DE by DL.AI - C2 W2 - Data Ingestion
DE by DL.AI - C2 W1 - Source Systems
DE by DL.AI - C1 W3&4 - Data Architecture & Translating Requirements to DA
A workflow for creating a Docker image with support for TensorFlow, PyTorch, and GPU
Reading: Hands-On ML - Chap 1: The ML Landscape
Reading: Hands-On ML - Quick notes (Chapter 14 & 15)
[archived] Resources for DS & ML & DL
Reading: Hands-On ML - Chap 2: End-to-End ML Project
Reading: Hands-On ML - Chap 3: Classification
Reading: Hands-On ML - Quick notes (Chapter 10 — 13)
Reading: Hands-On ML - Quick notes (Chapter 4 — 9)
PostgreSQL and sqlalchemy things
draft
Jupyter notebook
Date / Time discrete note (DS)
Time Series discrete note
draft
Tensorflow
Data Combining
Datasets Collection
PyTorch
draft
Earth mover’s distance
tsfresh
draft
Data Overview
Data Processing & Cleaning
Data Aggregation