Just a girl in Tech

Sometimes, we face the challenge to work on legacy projects or systems that have very little documentation if any. I see a lot of data scientist struggling to locate themselves in these projects, so I decided to write here a few very useful and basic Linux/POSIX compliant commands that every data scientist/engineer/programmer should know (imho).   First remember that you can always type $ man command                                                                                                     to get  more information on the command . This should tell you what the command is and how you can use it. For example, the following should give you the manual of the awk command. $   man awk                                                                                                                        Let's say you have a  File/Library not found error. One thing you can try is the locate command. $ locate pattern                                                         

New Data Science enthusiasts usually wonder what are the what are the best resources to best master this area. I am a huge fan of online courses (specially if they are free 😆) and decided to share my top 5 favorite ones. All courses below should have their main content available for free, so you can learn Machine Learning without investing too much! Statistical Learning             This course from Stanford University, taught by  Trevor Hastie and  Robert Tibshirani is an absolutely  amazing introduction to Machine Learning .  You might have heard about Prof. Tibishirani for being responsible for developing the Lasso method.  The classes are a great mix of practical intuition and theoretical concepts. Besides the Professors are funny and adorable (if you don't mind me saying).  Applied Machine Learning in Python           Here we have a much more practical introduction to Machine Learning and Data Science, with amazing examples in Python and details about arguments to be used in