From 3f9f7b50f9dde8043b4105a6efe696c3898b3f02 Mon Sep 17 00:00:00 2001 From: "kt.zhao" Date: Wed, 12 Oct 2022 17:04:25 +0800 Subject: [PATCH] Create Getting started with Julia and Machine Learning | Anthony Blaom & Samuel | JuliaCon 2022.md --- ... Anthony Blaom & Samuel | JuliaCon 2022.md | 32 +++++++++++++++++++ 1 file changed, 32 insertions(+) create mode 100644 videos/Getting started with Julia and Machine Learning | Anthony Blaom & Samuel | JuliaCon 2022.md diff --git a/videos/Getting started with Julia and Machine Learning | Anthony Blaom & Samuel | JuliaCon 2022.md b/videos/Getting started with Julia and Machine Learning | Anthony Blaom & Samuel | JuliaCon 2022.md new file mode 100644 index 0000000..b655c6f --- /dev/null +++ b/videos/Getting started with Julia and Machine Learning | Anthony Blaom & Samuel | JuliaCon 2022.md @@ -0,0 +1,32 @@ +References: +Speaker: Anthony Blaom & Samuel +Video title: Getting started with Julia and Machine Learning | Anthony Blaom & Samuel | JuliaCon 2022 +Link: https://www.youtube.com/watch?v=uFBPMQ9Ns-E +Link to the code: https://github.com/ablaom/HelloJulia.jl + +Contents +0:00 Welcome & Introduction +02:14 0 Outline +05:10 1 Workshop Resources +09:40 2 Machine Learning +11:35 2.1 Supervised Learning +20:56 2.1.1 Survival of Passengers on the Titanic +24:45 3.1 Begin of Coding (Tutorial 1) +41:53 3.1.1 Functions +46:30 3.1.2 Iterate +56:00 3.1.3 Pluto Notebook +1:01:42 3.1.4 Probability Distributions +1:08:48 3.1.5 Plotting +1:13:30 3.2 Tutorial 2: Dataframe +1:20:39 Skip Coffee Break +1:28:09 OpenML +1:30:06 3.2.1 Grabbing the Titanic dataset +1:40:40 3.3 Tutorial 3: Machine Learning +1:40:43 3.3.1 Scitype +1:46:43 3.3.1 Titanic Data +2:09:30 3.3.2 Splitting Data into train and test sets +2:13:13 3.3.3 Cleaning Data +2:22:47 3.3.4 Splitting Data into input features and target +2:28:05 3.3.5 Choosing model +2:33:04 3.3.6 The fit/predict worflow +2:39:00 4 Q&A