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Find Fabrice online: https://twitter.com/fabricemesidor
Watch the video of this episode: https://youtu.be/HfPZkuU65OY
Memorable Quotes from the episode:
[00:42:14] "I find that coding and math. I mean, the entire machine learning models today are really complex. So pick something to have fun with. You don't have to be stuck with quickly coding enough to start working on something that you don't like. So you need to take a project that you will have fun. You just enjoy. And the second thing is, don't be scared of the challenge."
Highlights of the show:
[00:01:17] Guest Introduction
[00:02:57] Where you grew up and what it was like there?
[00:05:05] You grew up in Haiti. In high school, what did you think your future would look like? Do you think you'd end up in the middle of winter in York?
[00:07:19] Do you like microeconomics or macroeconomics better? Which one do you do you prefer?
[00:08:55] How did you end up in Papua New Guinea? What was it like working in Papua New Guinea like?
[00:16:48] Share some tips with us on how to remain focused.
[00:18:42] Breaking into data science, you had to really upskill in Python. How did you apply those (excel skills) techniques when you're learning Python?
[00:20:48] Share some tips for public speaking and giving talks about Data science?
[00:30:00] Talk to us about your project idea. How did you get the idea for this project and what was what was your big takeaway from it?
[00:31:54] How'd you get the Data for the movie scripts?
[00:33:23] Applying machine learning to hip hop lyrics, so I thought that was really cool. So walk us through how you came up with the idea for this project.
[00:34:59] While applying machine learning to hip hop lyrics. what was your problem statement? What methodology did you use? Did you did you grab just the lyrics or did you grab the audio? Or did you combine audio and lyrics? How did you piece that project together? What was the big question that you're trying to answer?
[00:37:48] Did you have any type of criteria for which songs to include and which song not to include?
[00:42:11] What can the audience take away from this so they can go create some creative stuff for themselves?
[00:43:55] Do you have some favorite places that you go, some websites or anything like that?
[00:46:45] How do you guys use data science to to to help people like meet their goals?
[00:48:42] It is one hundred years in the future. What do you want to be remembered for that?
Random Round
[00:49:35] If you were to write a fiction novel, what would it be about and what would you title it?
[00:50:21] When do you think the first video to hit one trillion views on YouTube will happen and what will it be about?
[00:51:49] What are you currently reading?
[00:52:29] What song do you have on repeat?
[00:53:47] What are you interested in that most people haven't heard of?
[00:54:42] How long were you able to hold your breath for?
[00:55:23] What would you do on a free afternoon in the middle of the week?
[00:55:32] What's the best thing you got from one of your parents?
[00:56:45] Pancakes or waffles?
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