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Data science statistics cheat sheet. Convert each distinct feature into a ran. Demystifying statistical analysis 1. Number of nan s 0 s negative values max min etc dimensionality reduction. Your ultimate python visualization cheat sheet.
Data has become so valuable in business that many are calling it the new oil in fact countless companies are earning and saving millions of dollars a year from data analytics. Seeing what you need to know when getting started in data science traditionally big data is the term for data that has incredible volume velocity and variety. R for data science cheat sheets 1. The unique aspect of this cheat sheet is each step has been explained with codes examples.
But just like crude oil crude data is worthless if you can t refine it into something actionable and that s where data science comes into play. This cheatsheet is currently a reference in data science that covers basic concepts in probability statistics statistical learning machine learning deep learning big data frameworks and sql. This cheat sheet gives you a peek at these tools and shows you how they fit in to the broader context of data science. Check out cracking the data science interview here this also means that the cheatsheet will be getting a makeover soon stay tuned.
Since some ml algorithms cannot work on categorical data we need to turn categorical data into nu merical data or vectors ordinal values. If you enjoyed this cheat sheet you may be interested in applying your statistics knowledge in other cheat sheets. From flat files such as txts and csv to files native to other software such as excel sas or matlab and relational databases such as sqlite postgresql. We hope this statistics cheat sheet will serve as a quick.
Follow this cheat sheet to know when you remove stop words punctuation expressions etc. This cheatsheet is currently a 9 page reference in basic data science that covers basic concepts in probability statistics statistical learning machine learning. A handy cheat sheet learncuriously statistics august 23 2018 september 29 2018 1 minute the choice of statistical analysis to use is mostly governed by the type of variables in a dataset the number of variables that the analysis needs to be conducted on and the number of levels categories within a variable. Refer this cheat sheet to perform text data cleaning in python step by step.
Below is an extract of a 10 page cheat sheet about data science compiled by maverick lin. The data science cheatsheet has evovled into a book. If you would like to see additional topics discussed in this cheat sheet feel free to let me know in the responses. Statistics for dummies cheat sheet by deborah j.
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