When I left off in the last post, Team GirlvsData had just finished Hackday 2 in the DSM Datathon. A lot has happened since then! Our team finished our 3-minute insights video, submitted it and found out we got into the finals! Read on to see how Team GirlvsData went!
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If you've been following along with my blog posts, you might know that I'm part of a team competing in the Data Science Melbourne Datathon. Well, we just found out over the weekend that we're one of only 10 teams that have been chosen to present at the Datathon finals on Wednesday!
My experiences competing in the Data Science Melbourne Datathon!
When you're working hard on long-term goals, it can get really hard to see the forest for the trees. Every little achievement I am making along the way will become a little part of the whole of my success. Sometimes I realize that I need to stop, take a breath and acknowledge the little wins.
Command prompt is available on almost every single version of Windows. It's an oft-forgotten and undervalued tool for a huge range of automation processes, one of which I'll be outlining today.
On Monday night, I attended my first ever PyLadies Melbourne Meetup, and I loved it! I also got to meet one of the wonderful women in my DSM Datathon team - more on that after the jump!
Recently, I was approached by a work colleague who has a mutual interest in Data Science. He wanted to know about my plans for becoming a Data Scientist, and if I could lend some insight to his plans. So I thought, why not make a post here to share our findings and help someone else in their journey! (I've included a bunch of links to resources that have been helpful to me, or have come highly recommended!)
It's 6.55am, I'm on the early train to work and I'm feeling really inspired to kick ass and hit my goals. So I've written a mantra that I can come back to when I forget how far I've come, and need a push!
This is the second day of the 5 Day Data Challenge on Kaggle and today we are plotting a numeric value on a histogram in Python. Check it out below, or click this link if you’d prefer to read my code on the Gist website instead. Thanks!
When it comes to Data Science, I'm always shooting to be the very best, like no one ever was, so what's a better dataset to analyse than this POKEMON dataset from Kaggle!
Today is the first day of the 5 Day Data Challenge on Kaggle and we are reading in and summarizing a .csv in Python. Check it out below, or click this link if you'd prefer to read my code on the Gist website instead. Thanks!
