My main Machine Learning class

Slides and other material (e.g. Demos) of my ML Courses CS 6375 and CS 4375 at UT Dallas

Introduction to Machine Learning class taught at ISU, Fall 2020 to Spring 2021

Disciplina de Aprendizagem de Máquina dos cursos de Ciência da Computação e Engenharia da Computação IC/UFAL

Notes from http://www.ml-class.org/ course tought fall 2011

Machine Learning Ex1

Stanford ML Class programming exercises

No description available

ML Class

Programming exercise #3

No description available

Python code for Machine Learning course from Coursera

Exercises from the Stanford machine learning class.

This is the repo of my "Deep Learning Zoo" course at UC Davis

Coursera - Machine Learning (by Andrew Ng) 과정에 대한 연습문제를 python으로 구현한 내용입니다.

Coursera machine learning class

Process a knowledge base of unstructured and structured Enterprise data and then use it to build an AI/ML-powered Assistant for a Contact Center.

Contains spoiler

ML class exercise 6 - SVM

ML classifiers SVM ,Decision Tree,Random Forest,MLP and Adaboost were used to predict the cancer prediction

Stanford Machine Learning class homework code

No description available

Machine Learning Class offered at Chicago Booth ( https://chicagoboothml.github.io/MLClass/ )

Data for Machine Learning Class

ML Class ex5

python code for the homework problems for coursera machine learning class by Andrew Ng (https://www.coursera.org/course/ml)

Class material for the Artificial Images: RunwayML DeepDive Class, taught by Derrick Schultz and TA Lia Coleman

Logistic Regression - K-Nearest Neighbors (K-NN) - Support Vector Machine (SVM) - Kernel SVM - Naive Bayes - Decision Tree Classification - Random Forest Classification

Logistic Regression - K-Nearest Neighbors (K-NN) - Support Vector Machine (SVM) - Kernel SVM - Naive Bayes - Decision Tree Classification - Random Forest Classification

Solutions to Andrew Ng Machine learning course on Coursera