1 Introduction

1.1 How to Create a Machine Learning Portfolio

The course kick-off with a video in which Siraj provides 5 recommendations on how to augment our presence on the web. The todos are:

1. Create a personnal website
2. Create a social media presence
3. Create a GitHub account
4. Create a resume
5. Start networking in the real world

This is what I did: 1. I could render a personnal website with GitHub Page [https://knoel99.github.io/][https://knoel99.github.io/]. The tutorials I followed are:

• Get introduced to GitHub Pages on their [official website][https://pages.github.com/]. In short, GitHub Pages offers you to host you static website for free, with the domain name your_github_profile_name.github.io. Static website means that only HTML, CSS, and Javascript can be used, and sutff like database are not supported.

• I chose one of the framework that can be hosted on GitHub Pages, in our case it is Jekyll [https://github.com/jekyll/jekyll][https://github.com/jekyll/jekyll]. You can explore the templates that can be done on their website [http://jekyllthemes.org/][http://jekyllthemes.org/]

1.2 Your First Machine Learning Application

https://www.w3schools.com/python/default.asp

1.3 Revisited content