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Topic "Machine Learning" | Site of Thi
Machine Learning
Machine Learning
Jupyter notebook
DS & ML with Mac M-chip
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)
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)
HOG (Histogram of Oriented Gradients)
draft
Metrics for clustering
[archived] Resources for DS & ML & DL
Principal Component Analysis (PCA)
Decision Tree Classifier
Support Vector Machine (SVM)
Confusion matrix & f1-score
Tensorflow
Undefitting & Overfitting
draft
Dynamic Time Warping (DTW)
Mean Shift clustering
DBSCAN / HDBSCAN Clustering
Pipeline & GridSearch
draft
Random Forest
Decision Tree Regression
K-Means & K-Medoids Clustering