Author: shotlefttodatascience
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A gem of a book :)
I’ve just bought this delightfully titled book: No bullshit guide to linear algebra by Ivan Savov. It’s not necessarily easy learning everything you need to know about linear algebra for machine learning in 5 weeks (is that just me???) – so when I hit a bit of a brick wall in week 4 I went looking…
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Yes I can API!
I have a “real” assignment (for work as opposed to study) to do some data visualizations using maps. It’s been a journey of over a week to get to the place where I’m ready to start, and the journey has had some educational detours along the way that I thought I’d share. Naturally, because I’m…
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3Blue1Brown – thank you!
This resource was just recommended via Coursera Mathematics for Machine Learning: Linear Algebra, and all I can say is WOW! Animated math: it’s slick, it’s professional, it’s cute, it makes you smile – and it makes it all seem so obvious :). I can heartily recommend you take the time if you need help on Linear Algebra. In…
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Linear algebra
It’s started! The long-awaited Mathematics for Machine Learning: Linear Algebra – and it was worth waiting for – great lectures and coursework so far… So excited to be learning this stuff :).
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Visualization seems to be a thing…?
Are people craving interesting ways to visualize data? When I tell people I’m studying data science it seems to be the first thing that springs to mind – so I’m getting good practice in that area! Next challenge: map visualizations…
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Polar bar chart challenge
A big thanks to ujubee.com for challenging me to create a polar bar chart last week – I hadn’t done one of these before, but the matplotlib polar_bar_demo documentation was most excellent – and you can see from the test sample below that the results are very pretty! If you’re interested in a bit more…
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Conditional probability refresher
Probability is always… A number between 1 (certain) and 0 (impossible): The probability experiment This is process that can be repeated and in which the outcome will be uncertain, for example rolling a dice, tossing a coin, or selecting a card from a pack. The sample space This is the set of all possible outcomes…
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My 1st Dashboard :)
15 buildings, 35 aspects per building, each weighted according to importance, and then condensed into 6 key categories, with colour coding depending on how the results tumble out. What helped me get the final result? Pandas to import data from spreadsheet extract only the data I need manipulate it so we end up with…
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Snippets
Small things that drove me nuts – and how they were resolved… an ever-expanding list, no doubt 🙂 Issue Solution Source plt.savefig() saves an empty picture or a cut-off picture plt.savefig() should be placed BEFORE plt.show() to prevent this happening Stackoverflow solution Pandas prints pie chart labels and a legend which is redundant To lose…
Sho't left to data science 