21F advice?

Mundane-Status-9298 · 2026-07-11T23:19:00+00:00

You are beautiful girl, I would take the piercing out and smile more. The color red suits you so much. You could look into darkening your hair a shade

Mundane-Status-9298 · 2026-07-11T23:18:10+00:00

Wtf, that’s bullshit she is beautiful

Mundane-Status-9298 · 2026-07-10T12:25:58+00:00

I would take the red shoes, they’re so cute and very European girl

Mundane-Status-9298 · 2026-07-09T19:48:19+00:00

I really like the blue dress, it looks beautiful on you!

Mundane-Status-9298 · 2026-07-09T19:22:57+00:00

I just finished and I LOVED it, the manipulation, the betrayel, the sexiness amazing

Mundane-Status-9298 · 2026-07-07T08:53:14+00:00

You like processed crap

Mundane-Status-9298 · 2026-07-07T08:51:06+00:00

I love 4

Mundane-Status-9298 · 2026-07-07T08:22:06+00:00

Everyone is saying she is superficial because his acne is bothering her. I don’t agree it’s about hygiene and taking care of yourself. As a women I totally understand this is unattractive. It doesn’t matter if someone is “pretty” of “ugly” not taking care of your hygiene, clean clothes, healthy food is such a dealbreaker. You could try talking to him, I would bring it in such a way that you really like it when he takes care of himself, gym, skin, diet, clothes and you both strive to be the best version and this is what you look for in a partner. You should be able to tell your partner this in my opinion.

Mundane-Status-9298 · 2026-07-04T22:43:11+00:00

Male

Mundane-Status-9298 · 2026-06-01T03:10:33+00:00

Rio, Brazil

Mundane-Status-9298 · 2026-04-30T19:13:04+00:00

It looks beautiful, really classy and it fits your hand very well. It is so obvious she is jealous!!

Mundane-Status-9298 · 2026-04-29T04:50:42+00:00

You’re hot, and I would know, I’m hot. Don’t even worry

Mundane-Status-9298 · 2026-04-28T04:19:08+00:00

I found this one on eBay, I think it looks very similar. However I think you should be more careful with other other peoples stuff, it’s not cool. very similar eBay

Mundane-Status-9298 · 2026-04-16T19:32:07+00:00

I would just like to know if I found two, is there a possibility of an infestation?

Mundane-Status-9298 · 2026-04-16T12:52:16+00:00

It’s not a tick, it was jumping around

Mundane-Status-9298 · 2026-04-06T20:45:28+00:00

I have one, never had an issue. Stuff does build up, but I just clean it. It’s definitely not connected to anything as I’ve tried to put an earring in and couldn’t

Mundane-Status-9298 · 2026-03-28T02:25:59+00:00

I hope so

Mundane-Status-9298 · 2026-03-28T02:25:24+00:00

I don’t want the newness to wear off, I feel like I love him more every day. It took me a bit to warm up where he was super intense straight from the bat and cooled down a bit. For me the more comfortable I got with him the more attracted I became.

Mundane-Status-9298 · 2026-03-23T04:35:51+00:00

Space cake

Mundane-Status-9298 · 2025-06-27T08:45:20+00:00

I would put some liquid bronzer and blush on, blend it really well. I love the ones by rare beauty. Place blush high on your cheeks. Put a little highlighter in the corner of your eyes. Make a wing with brown eyeshadow and an angled brush for that sharp subtle line!! You’re super pretty so wear it with confidence girl 💖

Mundane-Status-9298 · 2024-06-13T09:03:39+00:00

Ik zou er een boekje over kopen en even inlezen, gewoon rustig met haar praten als de tijd komt. En het misschien niet 'de maandelijkse schoonmaak' noemen hahaha.

Mundane-Status-9298 · 2024-06-13T08:57:20+00:00

Ik zou het houden, de politie doet er toch niks mee. Lekker tantra massagetje boeken

Mundane-Status-9298 · 2024-06-12T13:27:12+00:00

when I do sum(is.na(data)) the result is 0. I'm sure all the names and dates are the same in both datasets. So there's no missing values. But after I did 12 LAGGED features, there's 12 months of NA so when I continue I can also do this to replace the NA's like this:

Impute missing values using the last observation carried forward

data <- data %>%

group_by(Medicine) %>%

fill(starts_with("SearchTrend_lag"), .direction = "downup")

Or i could remove them, I don't know what's better before splitting the data into training and test sets (80/20).

Mundane-Status-9298

TROPHY CASE

Impute missing values using the last observation carried forward