Machine Learning

Blog posts

A workflow for creating a Docker image with support for TensorFlow, PyTorch, and GPU

Reading: Hands-On ML - Quick notes (Chapter 10 — 13) draft

Dataquest - Data Scientist path draft

Reading: Hands-On ML - Quick notes (Chapter 13 —) draft

Reading: Hands-On ML - Chap 2: End-to-End ML Project

Reading: Hands-On ML - Chap 1: The ML Landscape

Reading: Hands-On ML - Quick notes (Chapter 4 — 9)

Reading: Hands-On ML - Chap 3: Classification

HOG (Histogram of Oriented Gradients) draft

DS & ML with Mac M1

Metrics for clustering

Principal Component Analysis (PCA)

Decision Tree Classifier

Support Vector Machine (SVM)

Confusion matrix & f1-score

Jupyter notebook

Tensorflow

Undefitting & Overfitting draft

Resources for DS & ML & DL

Dynamic Time Warping (DTW)

Mean Shift clustering

DBSCAN / HDBSCAN Clustering

Pipeline & GridSearch draft

Random Forest

Decision Tree Regression

K-Means & K-Medoids Clustering