Omega Codes
We are funking champions π let's go π΄βͺοΈπ΄βͺοΈπ΄βͺοΈ
What a birthday gift π
Thanks to be god
Thanks to be god
π₯1
Today was a productive day πͺ
-I have built hybrid recommendation system task (I will share what I learned tomorrow)
-merge conflicts and test pr on project I'm a team lead
- and did one side hustle
-but still in have a lot of tasks to do this weekπ
But not only work i also been playing game (Valorant) with my friends π
I'm little tired and also I have to defend my task tomorrow so I'm head to bed early today
Good night π΄
-I have built hybrid recommendation system task (I will share what I learned tomorrow)
-merge conflicts and test pr on project I'm a team lead
- and did one side hustle
-but still in have a lot of tasks to do this weekπ
But not only work i also been playing game (Valorant) with my friends π
I'm little tired and also I have to defend my task tomorrow so I'm head to bed early today
Good night π΄
π₯4β€1
Forwarded from Yohannes Haile (Yohannes Haile)
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Omega Codes
hybrid recommendation system
so lets start with What is recommendation system? π€
A recommendation system is a system that suggests things users may like based on their interests, behavior, or similarities with other users.
You see them everywhere movies on Netflix, videos on YouTube, products on Amazon and songs on Spotify.
Main Types of Recommendation Systems:
β’ Content-Based Filtering β recommends items similar to what the user liked before
β’ Collaborative Filtering β recommends based on similar usersβ behavior
β’ Hybrid Recommendation System β combines multiple approaches for better recommendations
Recently, I built a Hybrid Recommendation System by combining:
Content-Based Filtering
Collaborative Filtering (SVD)
The goal was to improve recommendation accuracy by using both item similarity and user behavior together.
Still improving and experimenting with it
GitHub Repo: https://github.com/OmegaM97/hybrid-recommender
hope it was help full this is just simple summary if you want u can deep diveβΊοΈ
A recommendation system is a system that suggests things users may like based on their interests, behavior, or similarities with other users.
You see them everywhere movies on Netflix, videos on YouTube, products on Amazon and songs on Spotify.
Main Types of Recommendation Systems:
β’ Content-Based Filtering β recommends items similar to what the user liked before
β’ Collaborative Filtering β recommends based on similar usersβ behavior
β’ Hybrid Recommendation System β combines multiple approaches for better recommendations
Recently, I built a Hybrid Recommendation System by combining:
Content-Based Filtering
Collaborative Filtering (SVD)
The goal was to improve recommendation accuracy by using both item similarity and user behavior together.
Still improving and experimenting with it
GitHub Repo: https://github.com/OmegaM97/hybrid-recommender
hope it was help full this is just simple summary if you want u can deep diveβΊοΈ
π2β€1
New feature β¨
So my friend suggest me to add Recommendation for EthioLink so users can get direct message from the bot based on their preferences, So I did
now on EthioLink bot you can customize your preferences and get only the jobs or opportunities you looking for π and don't forget to add at least one value on one of the categories to get ur recommendations
check it out at: EthioLink bot
So my friend suggest me to add Recommendation for EthioLink so users can get direct message from the bot based on their preferences, So I did
now on EthioLink bot you can customize your preferences and get only the jobs or opportunities you looking for π and don't forget to add at least one value on one of the categories to get ur recommendations
check it out at: EthioLink bot
β€3π₯1
Omega Codes
New feature β¨
btw u using this new feature?
coz i been and it saving me a lot of time coz instead of looking many job posts im getting opportunities based on what im looking forβΊοΈ
coz i been and it saving me a lot of time coz instead of looking many job posts im getting opportunities based on what im looking forβΊοΈ
Forwarded from Dev Notes
how to apply for remote jobs better
1. go to crunchbase.com, filter for companies that just raised. they have money and they're about to hire.
2. the free trial needs a card, use a bybit virtual card. Crunchbase won't track cards, so when the trial runs out you swap the email and start a fresh one.
3. pick one company a day. research what they actually build.
4. write a specific cold email. good breakdown here
5. send a linkedin dm too, hit them from both sides.
6. record a short video of yourself, why you're a fit. komodo is free and unlimited. puts you ahead of many.
it's a numbers game but quality numbers. just show up every day.
Follow for more: DevNotes
1. go to crunchbase.com, filter for companies that just raised. they have money and they're about to hire.
2. the free trial needs a card, use a bybit virtual card. Crunchbase won't track cards, so when the trial runs out you swap the email and start a fresh one.
3. pick one company a day. research what they actually build.
4. write a specific cold email. good breakdown here
5. send a linkedin dm too, hit them from both sides.
6. record a short video of yourself, why you're a fit. komodo is free and unlimited. puts you ahead of many.
it's a numbers game but quality numbers. just show up every day.
Follow for more: DevNotes
π3
you guys remember minesweeper?π€
i used to play it by just clicking randomly i didnt know it had rules but once you get the rules i swear it is easyπͺ
try it at https://minesweeper.online/
i used to play it by just clicking randomly i didnt know it had rules but once you get the rules i swear it is easyπͺ
try it at https://minesweeper.online/
π3
Guys have you heard about AfterQuery?
people are making insane amount of money for simple tasks, you just need to apply and wait until they accept u dont miss it!!
here is the link : https://experts.afterquery.com/apply?ref=xKOzRg87fget0ZI2J8p1hTlXTp22
people are making insane amount of money for simple tasks, you just need to apply and wait until they accept u dont miss it!!
here is the link : https://experts.afterquery.com/apply?ref=xKOzRg87fget0ZI2J8p1hTlXTp22
π3β€1