Tutorial 79 - Image segmentation using traditional Machine Learning - Part 1

Tutorial 80 - Image segmentation using traditional Machine Learning - Part 2

Tutorial 83 - Image classification using traditional machine learning

Tutorial 51 - What is image thresholding and segmentation?

Tutorial 76 - What is random forest classifier? (Explained using the breast cancer data set)

73 - Image Segmentation using U-Net - Part1 (What is U-net?)

Tutorial 74 - What are Gabor filters and how to use them to generate features for machine learning?

Tutorial 52 - Auto-thresholding for multiple regions ​using multi-otsu

Tutorial 82 - Image segmentation using traditional Machine Learning on APEER

Tutorial 117 - Building your own U-Net using encoder and decoder blocks

Tutorial 124 - Using pretrained models as encoders in U-Net

All Machine Learning algorithms explained in 17 min

Tutorial 78 - Introduction to image segmentation using traditional machine learning (Random Forest)

Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn

Tutorial 125 - Using pretrained deep learning model as feature extractor for XGBoost segmentation

11. Introduction to Machine Learning

Lecture 2 | Image Classification

208 - Multiclass semantic segmentation using U-Net

Audio Data Processing in Python

Tutorial 115 - What is U-Net and how is it different from an autoencoder?