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

Tutorial 77 - What is Support Vector Machines (SVM) and how to use it in python?

What is the K-Nearest Neighbor (KNN) Algorithm?

StatQuest: Random Forests Part 1 - Building, Using and Evaluating

Breast Cancer Classification using Machine Learning and Random Forest Algorithm

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

Tutorial 72 - What is Gaussian Mixture Model (GMM) and how to use it for image segmentation?

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

Principal Component Analysis (PCA) with sklearn: Breast Cancer Data

Tutorial 75 - Extracting features for machine learning using Gabor filter banks

Tutorial 90 - Setting up your free Google Colab account for deep learning

Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)

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

Tutorial 119 - Multiclass semantic segmentation using U-Net (in Keras)

Logistic Regression Project: Cancer Prediction with Python

Artificial neural networks (ANN) - explained super simple

Random forest classification - simply explained

But what is a neural network? | Deep learning chapter 1

Tutorial 51 - What is image thresholding and segmentation?

Breast Cancer Prediction Using Machine Learning

Time Series Forecasting with XGBoost - Use python and machine learning to predict energy consumption