Akhil's Passion

Mnemonics are cool techniques that are immensely helpful remembering facts. Be it anything from spelling of english words  to  quantum physics , you can make a mnemonic to learn it.  For example:  The spelling of ' SEPARATE ' is one of the the most commonly misspelled word in English language.  "There is A RAT in sep ARAT e" - visualizing and remembering this sentence will help anyone recall the spelling of separate quickly without mistake.  Another example is the spelling of 'necessary' Just remember the sentence 'Shirts have 1 collar and 2 sleeves' to avoid misspelling the number of 'c' and 's'.   It's a clever idea to keep these tricks under your sleeves to impress your friends or teachers with your new exceptional memory powers.  A trick to recall the first10 element of periodic table is to just remember :  "Henry Hester Likes Beer But CanNot Obtain Food Now" Elements: Hydrogen, Helium, Lithium, B

Warning: These are my messy study notes, much better legible notes can be found here  http://onepager.togaware.com 1. A Tour Thru Rattle Transform Tab ( by no means near to the full power of underlying R) Data Mining Tabs - Cluster, Associate Model Log Tab  - Capture the corresponding R command Working from Left to Right on Tabs  Remember to Click Execute Button 'Save' -> Projects save the current state, all models etc. 'Open' Projects can be restored at a later time You can even load it back to R  2. First R Program Load rattle and ggplot2 library(rattle)  # Provides the weather dataset  library(rattle)  # Provides the ggplot() function ggplot -> Grammar of Graphics : Just like english grammar or grammar of a computer language. A result of Hadley's Phd . Look him up to learn more details. Then produce a plot using ggplot() # handsondatascience.com - tips on elegantly writing repeated code ds <- weather 

This is a blog post on a workshop I attended : a three-day hands-on Workshop on Data Mining & Analytics with R at Technopark, Trivandrum on 5th May 2015 Taught by :  Graham Williams - Senior Director and Data Scientist , Australia Graham.Williams@togaware.com http://datamining.togaware.com Read About  - Literate Programming  - Literate Data Mining Philosophy We are not writing program for the computer, it is written to share with other people. Everything that we write should be written for others. We should control the computer not vice versa.  Introducing Data Science Data Mining  Started in around 1989. Lego house - model - > not real but we get an idea. Data mining is all about building such models. Analytics Descriptive Analytics - what happens , suggestions in Amazon Diagnostic Analytics - explain why the above happened Correlation and Causation - Find up people who ended up in hospital after taking a particular d