Getting started with Julia and Machine Learning | Anthony Blaom & Samuel | JuliaCon 2022

[ktzhao]

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

[KZiemian]

I try to revitalize this project, wish me good luck. In the meantime, I tweaked a bit your work.

Contents 00:00, Opening and 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.jl 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

Resources Code of workshops, link. Pluto.jl home page. Pluto.jl repository.

[KZiemian]

Thank you. Timestamps were added to the video, we will close this issue, when we get access rights to this GitHub repository.

[KZiemian]

We now can close the issue.