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!
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!
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.
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!
The Business Challenge: We need to know which salary to assign to a person depending on how many years of experience they have in the business. We have a prospective employee with 5 years of experience, and we need to know how much we should pay them. Based on the data we have about 30 employees; their Years of Experience and their Salary, can we predict an employee's Salary only given their Years of Experience?
This is my first Kaggle submission, including data cleaning, feature selection and visualisations to make some first impressions on what the data story is telling us about who is most likely to survive. I'll be making some other submissions soon including testing out a few different Machine Learning classifiers to make predictions.
These codes come in handy for me all of the time - Whenever I need to automatically save a report with the Week Ending Date, or if I need to calculate something from a SQL query that needs a specific date, I chuck one of these codes. I thought it might come in handy for … Continue reading VBA Code for ‘Last Week’s Saturday’ – & other dates!
