BeNN
"Mathematics is the language with which God has written the universe." Galileo Galilei
Math was one of the main reason I changed my focus from web dev and app dev to AI. All the magic thing AI is doing today is basically a math! It is just ELEGANT
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I have spent around 60 hours being productive this week and Surprisingly I'm disappointed๐ญ๐คฃ....i know it is almost 9 productive hours per day, but there was a time I had done around 100 hours per week ~ 14 hours per day and was hoping to get near that.
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Forwarded from The Data Guy
Hey, iโm Simon ๐
people kept saying โask the data guyโโso here i am.
Iโve worked across the stack: Data scientist โ Data engineer โ Data analyst/Business analyst.
translation: Trying to make sense of that crazy data you always avoid
Why this channel
i couldnโt find many channels for our kinda peopleโpractical, curious, no ego.
soโฆ here goes the channel. a place to learn, swap notes, and grow together.
the only one i know is @neural_netss ๐ฅ
What this is
a community for ai, data, and research enthusiasts. a chill corner for anyone who wants to learn.
weโll focus on learning. small, clear lessons. shared notes. tiny projects we can finish. readable code. quick feedback. progress over polish.
What weโll do
- quick explainers (plain english, real examples)
- build-in-public: notebooks, dashboards, pipelines
- tool showdowns (pros/cons, not hype)
- lightning q&as + office hours
- quiet drops: roles, collabs, founder-friendly pilots
Who can join
anybody who is interested in data+ai , data folks (all levels), ai/ml engineers, researchers, product/ops, students, and the data-curious.
ai founders + big-company leaders, pull up a chair to meet talent, swap notes, and spot opportunities early.
Low-key benefits
faster answers, vetted resources, honest feedback, early looks at gigs/collabsโand smart people who actually reply.
House vibe
curious > perfect โข share what you know โข no spam โข respect each other and their craft
Drop a ๐ with where youโre based + what youโre building/learning next.
lurkers welcomeโjump in when youโre ready.
Letโs make sense of this data๐
@datawithsimon
people kept saying โask the data guyโโso here i am.
Iโve worked across the stack: Data scientist โ Data engineer โ Data analyst/Business analyst.
translation: Trying to make sense of that crazy data you always avoid
Why this channel
i couldnโt find many channels for our kinda peopleโpractical, curious, no ego.
soโฆ here goes the channel. a place to learn, swap notes, and grow together.
the only one i know is @neural_netss ๐ฅ
What this is
a community for ai, data, and research enthusiasts. a chill corner for anyone who wants to learn.
weโll focus on learning. small, clear lessons. shared notes. tiny projects we can finish. readable code. quick feedback. progress over polish.
What weโll do
- quick explainers (plain english, real examples)
- build-in-public: notebooks, dashboards, pipelines
- tool showdowns (pros/cons, not hype)
- lightning q&as + office hours
- quiet drops: roles, collabs, founder-friendly pilots
Who can join
anybody who is interested in data+ai , data folks (all levels), ai/ml engineers, researchers, product/ops, students, and the data-curious.
ai founders + big-company leaders, pull up a chair to meet talent, swap notes, and spot opportunities early.
Low-key benefits
faster answers, vetted resources, honest feedback, early looks at gigs/collabsโand smart people who actually reply.
House vibe
curious > perfect โข share what you know โข no spam โข respect each other and their craft
Drop a ๐ with where youโre based + what youโre building/learning next.
lurkers welcomeโjump in when youโre ready.
Letโs make sense of this data
@datawithsimon
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The Data Guy
Hey, iโm Simon ๐ people kept saying โask the data guyโโso here i am. Iโve worked across the stack: Data scientist โ Data engineer โ Data analyst/Business analyst. translation: Trying to make sense of that crazy data you always avoid Why this channel i couldnโtโฆ
Check out this channel to learn more about Data Science.
BeNN
Anyone wondering Which part of math to cover to master ML.. I recommend Linear Algebra and Calculus (all three levels from I to III). Then You are good to go. @BeNN_Pi
Most of all don't let urself down because you have low Mark or GPA on those subjects in ur highschool or uni.... The main thing is understanding what's going on and how it works... The uni and highschool teachers focus more on how to make it complex with adding stuff into it and let them get โ than actually teaching what it's.... So the important thing is U understanding the topic and applying it not just having great GPA at those areas.
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Hey Everyone I have worked on Movie Recommendation Project using KNN and you could access:
- the live demo here: https://mlprojects-algorithmslist.streamlit.app/
- Github: https://github.com/benasphy/ML_projects/blob/main/KNN/KNN_projects/movie_recommendation.py
Don't forget to Star and Fork the main ML_projects Repoโก๏ธ
- the live demo here: https://mlprojects-algorithmslist.streamlit.app/
- Github: https://github.com/benasphy/ML_projects/blob/main/KNN/KNN_projects/movie_recommendation.py
Don't forget to Star and Fork the main ML_projects Repoโก๏ธ
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BeNN
Hey Everyone I have worked on Movie Recommendation Project using KNN and you could access: - the live demo here: https://mlprojects-algorithmslist.streamlit.app/ - Github: https://github.com/benasphy/ML_projects/blob/main/KNN/KNN_projects/movie_recommendation.pyโฆ
The dataset has 8809 Movies and Series. Look at the codebase in the repo and try to experiment with it.
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I heard Softbank and Peter thiel sold their share of NVIDIA๐๐and also AI stock Market cap lost $1.8 trillion worldwide! Maybe AI Bubble! like Dotcom bubble back then when they rose very high and crashed so fast!
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This was my comment like 5 days ago about BTC๐Afterall I'm getting good at prediction like ML algorithms
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