Hackore

Random Forest Classification

Posted on Jul 16, 2018 in Notes • 12 min read

Basic applications and features of Random Forest Classification

Posted on Jul 16, 2018 in Notes • 12 min read

Basic applications and features of SVC

Posted on Jul 16, 2018 in Notes • 15 min read

Choosing ML algorithms, evaluating and tuning model parameters.

Posted on Jun 22, 2018 in Notes • 12 min read

Collecting different movie title translations of China, Hong Kong, and Taiwan from wiki, using movie lists from IMDb.

Posted on Jun 14, 2018 in Notes • 13 min read

Introduction to some of the more common feature scaling schemes which are important in preprocessing data.

Posted on Jun 14, 2018 in Notes • 12 min read

An unsupervised learning technique that reduces the dimensionality of your datasets.

Posted on Jun 14, 2018 in Notes • 11 min read

A supervised learning technique to interpolate or extrapolate your datasets with linear relations.

Posted on Jun 14, 2018 in Notes • 11 min read

An unsupervised learning technique that reduces the dimensionality of your datasets.

Posted on Jun 14, 2018 in Notes • 12 min read

Some of the more common visualisation techniques for higher dimensionality data.

Posted on Jun 14, 2018 in Notes • 10 min read

How to split data into training sets and testing sets.

Posted on Jun 14, 2018 in Notes • 10 min read

Basic applications and features of K-Means clustering

Posted on Jun 14, 2018 in Notes • 11 min read

Basic applications and features of K-Neighbors Classification

Posted on Jun 14, 2018 in Notes • 15 min read

Basic operations of beautiful soup and work flow.