Lessons For All Our Courses

01

September

AdaBoost Part 2

01

September

SVM Outline

01

September

SVM intuition

01

September

Hard vs Soft Margins

01

September

C hyper-parameter

01

September

Kernel Trick

01

September

SVM - Kernel Types

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September

SVM with Linear Dataset (Iris)

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September

SVM with Non-linear Dataset

01

September

SVM with Regression

[Project] Voice Gender Recognition using SVM

01

September

[Project] Voice Gender Recognition using SVM

01

September

Unsupervised Machine Learning Intro

01

September

Unsupervised Machine Learning Continued

01

September

Data Standardization

01

September

PCA Section Overview

01

September

What is PCA?

01

September

PCA Drawbacks

01

September

PCA Algorithm Steps (Mathematics)

01

September

Covariance Matrix vs SVD

01

September

PCA - Main Applications

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September

PCA - Image Compression

01

September

PCA Data Preprocessing

01

September

PCA - Biplot and the Screen Plot

01

September

PCA - Feature Scaling and Screen Plot

01

September

PCA - Supervised vs Unsupervised

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