Day 7/100 - #100DaysOfML 🚀
Today I learnt:
📌Z-Score: (x−μ)/σ
- tells how many std deviations a value is from the mean
📌Z-Table: used to find the probability/area for a given Z-score
📌Total area under the curve in SND is 1 (100%)
@codebasicshub#MachineLearning#AI
Day 6/100 – #100DaysOfML 🚀
Today i learnt:
- CLT : n ≥ 30 -> sample mean ≈ Normal (🔔 curve)
- Mean(x) = μ -> sample avg ≈ population avg
- Var(x) = σ²/n -> larger n -> less spread
- Standard Error = σ/√n tells how close x is to μ , bigger n = smaller SE
#ml#Ai#Ai
Day 5/100 #100DaysOfML 🚀
Today I learnt :
- Law of Large Numbers : bigger sample ≈ true avg
- Random Sampling : equal chance for each data point
- Sampling Bias : skewed data (selection, participation, survivorship, lang)
- CLT : averages ≈ Normal Dist
#MachineLearning#AI
Day 4/100 – #100DaysOfML 🚀
Today I learnt:
- Z-Score = (x-μ)/σ → how many std is the value from the mean
- SND : Normal Distribution measured with Z-scores (μ=0, σ=1)
- Industry rule : ±3 Z-score (≈ ±3σ) -> likely outlier
- finished labs & exercise ✅
#MachineLearning
Day 3/100 – #100DaysOfML 🚀
Today I did:
- practiced lab files and the
final exercise of Normal Distribution for correcting the df which has outlier
- applied 3 standard deviation as a threshold to detect the outlier which is standard industry practice!
@codebasicshub#AI
Day 2/100 – #100DaysOfML 🚀
Today I learnt:
- Normal Distribution & the Bell Curve
- 1σ, 2σ, 3σ ranges for finding outlier in normal distribution
- Right skew, left skew
- done Real-world applications of it using the lab
@codebasicshub#100DaysOfCode
Day 1/100 #100DaysOfML 🚀
Only 100 days left in 2025, so I’m starting this challenge to build a solid ML foundation.
Currently following @codebasicshub ML course 📚
I’ll share daily progress & struggles. Feel free to join me🙌💯🤖
#MachineLearning#100DaysOfCode
📢 We're hosting the 5-Day AI Agents Intensive course with Google on November 10 - 14. We’d love for you to join!
This no-cost course is designed to help you explore the foundations and practical applications of AI agents.
More info and registration: rsvp.withgoogle.com/events/google-…
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I was thinking of a course like this today only, for my professional goals. And guess what - it is actually launched by someone trustworthy, @Hiteshdotcom@piyushgarg_dev Thank you so much! Enrolled ✅
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If Enrolled:
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Had a fantastic experience joining the Microsoft Cloud & AI Bootcamp! Learned so much through each of the sessions and gained valuable insights that I’m excited to put into practice.
#AzureAI#Innovationmicrosoft.com/en-in/Cloudand…
I'm 54.
I wasted 24 years learning this the hard way. But I'll teach you in 5 minutes.
If you're soft, stop reading now.
Here are 24 uncomfortable truths I wish I knew earlier:
Wisdom is learning the lessons we thought we already knew. DeepSeek reminds us of three important learnings from computing history:
1) Computing obeys the gas law. Making it dramatically cheaper will expand the market for it. The markets are getting it wrong, this will make AI…
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