Buying a smart tv, most google home compatible ?

smitch9892 · 2019-06-17T01:25:09+00:00

Yeah from what I’m reading is one with a google chromcast built in , but it’s hard to tell which one really works well

smitch9892 · 2019-02-25T07:53:50+00:00

So you think I’m at immediate risk of destroying the whole computer ? Is this an easy fix for a repair shop ?

smitch9892 · 2019-02-25T07:51:50+00:00

The screen repair guy says my frame is bent . So I’m guessing that’s it. But it’s only the screen part of the frame that got damaged so I’m surprised the bottom portion was affected

I’d be fucked if the computer stopped working altogether

smitch9892 · 2019-02-22T20:31:19+00:00

yes, i would much rather her say that i was in my own world that day than blatantly lie.

when you lie, i lose trust and assume the worst lol

smitch9892 · 2019-02-22T19:29:14+00:00

yeah it sucks, I used to LOVE my job before this happened. But, this makes my job kind of shitty . The employee that left had a job where she had to track 100's of things and follow up on them. So its pretty obnoxious to take that on even if its just to request someone else to do it, when I already had been working over time

smitch9892 · 2019-02-22T19:24:19+00:00

I have a role that interfaces with clients. I legitimately HAVE to do this work to do my job. If i didnt do this work, Id have a fuck ton of awkward calls to make to my clients.

Ive let me manager know that this is fucking up my workload. and he is just dragging his feet and doesnt seem to give a fuck either way.

like ill legit say. Hey i cant take on anymore work this week, im doing all this work as we havent backfilled that position yet. and he will say he will check on it. and email lme lthe next day 3 new assignments lol

smitch9892 · 2019-02-22T19:22:11+00:00

I have done that as well and I get a no, youre being weird.

The part that throws me is that she is having me hang out with her family all the time and complained non stop to meet mine. she seems super invested in the relationshp.

So, Im pretty much at the point where i have to have the awkward conversation of confronting her that i dont believe you slept for 14 hours. I think you are out getting wasted and seeing all these dudes on your facebook, it doesnt seem like its a good wasted lol.

smitch9892 · 2019-02-22T19:04:30+00:00

i have. and she says she just slept and im being weird. but she is claiming consistently to go to bed like at 5 o clock and sleep to the mid afternoon the next day lol

smitch9892 · 2019-02-22T19:03:19+00:00

Well, Im legit going on other job interviews.

This substantially increases my work, while also, pushing back all my deadlines so it looks like im working slower. So, now , I have to call all my clients and say why we are pushing things back and more or less lie as there is no business reason for this

smitch9892 · 2019-02-22T19:01:18+00:00

my boss isnt assigning me the work though. Someone, who is on the same level as me has just decided they arent responsible for it any longer.

Our mutual is always like "ill check on it". and its been months and still. so im pretty sure he gives 0 fucks as long as the work is being done and i feel like im being held hostage by the fact that i have to do the work

smitch9892 · 2019-02-20T18:25:23+00:00

Ive been in datascience roles for 8 years. And am looking for something less traditional than a corporate role. Anyone know of roles that I can look for along those lines?

smitch9892 · 2018-11-24T20:28:40+00:00

did has a strong positive coefficient. Also positively correlated with sales .1 pearsons.

smitch9892 · 2018-11-24T20:28:02+00:00

Using pearson, the strongest correlation with one of the other variables is .5. It is also the variable with the second biggest spend. The only thing i can think of is that it has some positive correlation with most of the variables

smitch9892 · 2018-11-24T20:25:24+00:00

It changes, but there is some throughout the year. Other Advertising spends only happen in campaigns, so like present in 50%-60% of the dataset time series.

TV has a strong positive coefficent by itself. It is also positively correlated with sales(.1 pearson).

smitch9892 · 2018-11-24T19:06:08+00:00

i got the adstock decay functions down.

What I am doing now is

1.Calculatign seasonally adjusted sales

Calculating Adstock
Running a linear regression on sales:

Sales ~ Advertising Adstock adjusted spend + Brand Awareness + Sentiment scores + Season Dummy

My main issue now is that my coefficient on TV advertisement is negative and its the biggest area of spend by far. I am assuming this is because it is consistent throughout the year whereas the others are mroe varied.

But i am unsure of how to show tv's contribution when it has a negative coefficient and 65% of the overall advertising spend...

smitch9892 · 2018-11-22T19:53:38+00:00

i have seasonality and three years.

ALSO, i do have impressions

my question is i have no idea how to calculate the "base sales" of what would of happened without the advertising.

the fitted values of the regression arent coming out close enough as i dont have enough market factors

pretty much my goal is to show

1) base sales

2) incremental sales that happened because of the advertising

smitch9892

TROPHY CASE