Machine Learning

Jupyter notebook

DS & ML with Mac M1

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

Tensorflow

Undefitting & Overfitting draft

Resources for DS & ML & DL

Dynamic Time Warping (DTW)

Metrics for clustering

Support Vector Machine (SVM)

Mean Shift clustering

DBSCAN / HDBSCAN Clustering

Pipeline & GridSearch draft

Random Forest

Decision Tree Regression

Confusion matrix & f1-score

K-Means & K-Medoids Clustering

Principal Component Analysis (PCA)

Decision Tree Classifier