Все публикации

0:00:06

Merry Christmas all

0:58:12

Automating Google Chrome to Scrape Images with Selenium and Python

0:27:22

Python Virtual Environments and package dependencies with a requirements.txt

0:33:51

MLDataR - a data package for Supervised Machine Learning in R

0:27:54

Consuming Docker API with R

0:20:32

ConfusionTableR - tidy the outputs of a confusion matrix in R

0:24:17

Python (PyHacks) - Object Orientated Python - Classes and Class Methods

0:20:01

Python (PyHacks) - Functions

0:27:47

Python (PyHacks) - Looping and Iteration

0:22:00

Python (PyHacks) - Conditional Logic - IF..ELIF..ELSE statements

0:23:19

FeatureTerminatoR package - automatically remove features of minimal predictive value

0:28:05

Python (PyHacks) - Sets

0:27:13

Python (PyHacks) - Dictionaries

0:23:26

Python (PyHacks) Tremendous Tuples

0:16:43

Python (PyHacks) List Looping and List Comprehensions

0:26:13

Python (PyHacks) - Lists and list operations

0:12:00

Python (PyHacks) Sorting, Grouping And Joining Lists

0:27:01

OddsPlotty – Visualising Logistic Regression Models from CARET, stats and TidyModels in R

0:19:38

Creating ML Classification Model with TidyModels from scratch - Part Two

0:17:52

Creating ML Classification Model with TidyModels from scratch - Part One

0:25:06

Deploying a CARET ML R model to Docker

0:14:15

Feature Encoding in Python the Pandas way

0:58:49

Advanced Modelling Webinar - building Supervised Machine Learning Models with CARET

0:25:04

Deploying a CARET Machine Learning model as an API with Plumber