Lessons For All Our Courses | Dragon Zap

Lessons For All Our Courses

PCA Algorithm Steps (Mathematics)

01

PCA Algorithm Steps (Mathematics)

PCA - Main Applications

01

PCA - Main Applications

Covariance Matrix vs SVD

01

Covariance Matrix vs SVD

01

What is PCA?

01

PCA Drawbacks

PCA Section Overview

01

PCA Section Overview

Data Standardization

01

Data Standardization

Unsupervised Machine Learning Continued

01

Unsupervised Machine Learning Continued

Unsupervised Machine Learning Intro

01

Unsupervised Machine Learning Intro

[Project] Voice Gender Recognition using SVM

01

[Project] Voice Gender Recognition using SVM

SVM with Regression

01

SVM with Regression

SVM with Non-linear Dataset

01

SVM with Non-linear Dataset

SVM with Linear Dataset (Iris)

01

SVM with Linear Dataset (Iris)

SVM - Kernel Types

01

SVM - Kernel Types

01

Kernel Trick

C hyper-parameter

01

C hyper-parameter

Hard vs Soft Margins

01

Hard vs Soft Margins

01

SVM intuition

01

SVM Outline

AdaBoost Part 2

01

AdaBoost Part 2

AdaBoost Part 1

01

AdaBoost Part 1

What is Boosting?

01

What is Boosting?

Random Forests Pros and Cons

01

Random Forests Pros and Cons

Random Forests Hyper-Parameters

01

Random Forests Hyper-Parameters

Compare with sklearn implementation

01

Compare with sklearn implementation

CONTACT

DRAGON ZAP Ltd

7

DOMINONS ARCADE, QUEEN ST

CARDIFF, WALES CF10 2AR

hello@dragonzap.com

COMPANY