Real-Time Machine learning Pipelines within 3 standard deviation of your read-time.

Select * from life_data

{

Data= you.read_json('Life')

1) We extracted useful messed up data and then describe it for finding something interesting from prior/history of our life like our educations or past events and store in our mind memory for building future strategies/Time series analysis. 

2) Somehow our Life's objective is to fill the missing pattern while sometimes that missing time will give us new pattern of life. So we also have seasonality effects like B'day, Anniversaries when we are extremely happy,so need to fix it & do our duties as-usual. 

There are some outliers like girlfriends, boyfriends also there which may divert your path to success as well or can increase variability in your life.so we need treatment of those or time will automatically fix it through statistical testing on you by making you as a hypothesis statement ??

3)After doing this pre-processing of our prior records, we want to select some records which give us happiness and necessary for our future so feature selection and elimination comes into picture. 

4) Time to build your future strategy/prediction and after applying strategy in real life, we try to find the gap between what we actually wanted and what we get. And try to minimize the gap by reducing the goal or increasing the efforts. 

5) Time to re-fix what we wanted through doing some small changes like changing people, working hard etc and able to find good result. 

6) Time to showcase our self so we deploy our self in front of society b'coz it's our real client?? and don't become obsolete ever. 

}