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Kakutey Obed
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Kakutey Obed
@_Kakutey
Chelsea💙 | Every new day is an opportunity to be a better person in the LORD | Jeremiah 29:11 | Eden Hazard ❤️| Messi🐐
Katılım Temmuz 2019
1.4K Takip Edilen1.5K Takipçiler
This might be the weakest Brazil squad we’ve seen in years.
Imagine having a Moroccan player who is a bigger football icon than half of Brazil’s lineup.
Achraf Hakimi clears:
Igor Thiago, Lucas Paquetá, Ibáñez, Raphinha, Vinícius, Gabriel, and Douglas Santos.
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What a stunner! 🤯⚽️
Vini Jr responds with a beauty 🔥
It’s all level now.
#FIFAWorldCup2026
#EverythingCanWait🫸🏽
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@DStv_Ghana I paid for the Padi package to be able to watch the WC but my channels aren’t coming
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Government of Ghana’s strong reservations and high stakes diplomatic interventions following the Canadian Visa Refusal of Thomas Teye Partey of the Black Stars FIFA World Cup team.
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The confidence with which some of you talk *%@<_÷: is impressive.
The decision was made less than a week after the Draw, and even before Christmas, after state authorities pitched their facilities to the GFA (Maryland and Washington also did) and RI was chosen.
Adjoa@SheilaBabiii
Still don't know why Ghana is staying in Rhode Island, tells me one thing. Last minute bookings.
Providence, RI 🇺🇸 English
@garyalsmith Please, are things happening behind the scenes to resolve the Partey issue?
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this is so stupid.
like you’ve not lived his reality. you’ve not worked the places he has worked. you’ve not interacted with the professionals and teachers he has met.
but you can rudely give him career advice so casually?
Eric-Fasua.org@ericbidopa
I NEED TO GO TAKE A SHIT. so i'll make this quick; A lot of people are finding my tweet about google to be out of order. I know. I figured, I would be a little kind to you all and explain. With a little logic, you will get it too. 1. Google has 60k software engineers. Same as the rest of the faang. For 90% of their devs, what do you think their Day in a Life Looks like? Working on cutting edge software? Fuck NO. 2. Google has multiple products in existence already. They are not taking risks. The only job at google is to maintain existing products and/or add features here and there once every 5 years (if you're lucky). They hire geniuses to maintain competitive edge, and not because the actual job requires a genius. 3. If you graduated from MIT, from Ghana, with all that access and benefits, the worst possible decision you can make is go work for google and join the already existing 60K engineers. You'll get lost in the chaff. 4. You will not be on the team that does the real work. 6. You will be spending your time doing redundant stuff, editing buttons, and documenting the hell out of them. Before you know, 10 years of your life has gone by. Well, with Lot of money. A little tiktok search will confirm this. 7. However, this is fine if you are optimising for Money. Nothing wrong with that. But if you are in your 20s, I think you are pretty retarded if you are optimising for money (cc: @chamath ) and not taking as much risk as you can. 8. Now, I also do understand the young man. Just the classic textbook example of "success". I get it. Nothing wrong with that. I personally just respect people like @pazunre more. 9. Ghana is a shit hole now. Most of our leaders have misplaced priorities. No wonder our brilliant minds in tech always bounce out. Only Fair. 10. But we can't give up. I might just fuck around and have to become PRESIDENT OF GHANA to get the country back on track and save us all. We need to make Ghana great to retain our talents.
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Day 43/100 of Machine Learning🥱
I did the practical exercise on Binary Classification metrics where I trained a Logistic regression model, generated and interpreted the confusion matrix(TP, TN, FP, FN) and how to determine precision, recall 3and F-1 score.
I used a habitat_suitabilty dataset; the goal was to determine whether the endagered animal species will survive in a habitat based on certain ecological factors like(Ttemperature, rain fall, vegetation density etc.
Tomorrow we'll look at how to improve classification models.
In case you see any typo bare with me😂😂, my eyes can't even stay open. Goodnight ✌🏾
Gabriel Agana🦍👨🏽⚕️@gaagana_
Day 42/100 of Machine Learning 😌📊 Strangely, the code challenge was supposed to be done midweek so I started with that. We used a Credit Card Approval dataset which was anonymized, so I couldn't make a lot of sense from the features and what we were actually predicting. But I think the main focus was demonstrating how to build the model so yeah, a score of 90%. As usual, I don't like scoring 100%, it's not my thing🥱. Then I started the module on Binary classification metrics. Looked at issues like class imbalance and was introduced to precision, recall and F-1 score, and how to compute the confusion_matrix and classification_report using sklearn. Yo the TN, FP, TP, FN are very confusing😂
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I'm still in shock 🤯
The Craziest experience of my life.
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😂 Lmao my interview with SGS Ghana. It was over the phone and the call came when I was knee-deep in some afternoon nap. Chale I was all over the place
Sean@SeanReezy25
We all have that job interview that you know that you absolutely bombed. Mine was a KPMG interview in 2019, I left there knowing that a "we're sorry" email was loading for me 🤣
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