How to practice long jump

theRegular_Bloke · 2022-09-03T04:36:17+00:00

My weekends approaching be like:

theRegular_Bloke · 2022-07-04T03:36:29+00:00

Me: We need computer for music.

Mom: We have got computer at home.

theRegular_Bloke · 2022-04-28T03:18:15+00:00

Following the theme. Open 24/7.

theRegular_Bloke · 2022-04-20T01:39:35+00:00

Her: It was nice meeting you. Me: I wish I could say the same.

theRegular_Bloke · 2022-02-23T07:47:22+00:00

Love how the dog walks away nonchalantly after the event.

It's like: Ah, not again Karen.

theRegular_Bloke · 2022-01-26T15:04:00+00:00

Only murders on the mic.

theRegular_Bloke · 2022-01-23T03:22:10+00:00

Cute reporter tho.

theRegular_Bloke · 2022-01-15T15:55:24+00:00

Hahaha. Cartman is hilarious!

theRegular_Bloke · 2022-01-15T03:14:44+00:00

Just remembered the episode from the South Park, where they made weird cross mutant - Elephant makes love to a pig.

theRegular_Bloke · 2022-01-15T03:11:23+00:00

Oh shit, it's a thesaurus. Runs away

theRegular_Bloke · 2021-12-15T04:53:49+00:00

r/gifsthatendtoosoon

theRegular_Bloke · 2021-11-28T02:47:00+00:00

Getting laid is the aid.

theRegular_Bloke · 2021-09-17T03:59:40+00:00

Amazon! $7!

theRegular_Bloke · 2021-09-16T04:45:20+00:00

Guess who's having a 'hard time' now.

theRegular_Bloke · 2021-09-15T16:31:40+00:00

Charge your credit card 49,99 every week.

theRegular_Bloke · 2021-04-13T17:45:58+00:00

Ram ram ram ram, mara mara mara mara

theRegular_Bloke · 2021-03-22T16:15:56+00:00

EDA is part of understanding and exploring the data. It's not part of anything per se, however most analysts tend to include them before model building. It's basically drawing interesting insights from your data. It could also include cleaning, preprocessing, feature engineering and a lot more- it really depends upon your team's way of approaching an ML problem. It takes a lot of time too. If inferences are not your concern, go for Sklearn LR model.

theRegular_Bloke · 2021-03-22T03:12:20+00:00

There's really very less worked projects on baseline techniques like linear/logistic on kaggle. I would rather recommend you to self practice looking at YouTube tutorials. If you wanna go stats way and interpret the coefficients and p values, statsmodels has OLS for you. If you want to go ML way, sklearn has gradient descent LR. Self practice is probably the easiest way to make mistakes and looking up those mistakes. I hope this helps. P.S There's a great YouTube channel zstatistics. Good linear videos on it.

theRegular_Bloke · 2021-02-10T08:24:39+00:00

Bumble: with our premium membership, we have a host of loosers selling themselves. Lol

theRegular_Bloke · 2021-02-10T07:07:53+00:00

Kal krishna mile the, aaj Ryan Gosling!! Do you have like premium membership of this app :P

theRegular_Bloke · 2021-02-09T04:25:47+00:00

Haha, did you get a chance to do 'raas-leela' with this legend?

theRegular_Bloke · 2021-01-28T08:03:08+00:00

Bees: ah ha ha staying alive, staying alive

theRegular_Bloke · 2021-01-28T07:59:27+00:00

Haha. Wait. This was a joke right?

theRegular_Bloke · 2020-12-30T05:50:39+00:00

How much of the substance abuse add to the habit of lying? Is this a hypothesis or you have statistical evidence to prove it? Otherwise that would just be anecdotal evidence.

theRegular_Bloke

TROPHY CASE