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ANBasic explanation of array
@anshullokwani
#Parametres
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PYPointers are a hard topic for beginners. Send this to someone who needs it and comment below how you learned about pointers!
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#python #pythonprogramming #development #developer #ai #softwaredeveloper #coder #coding #computerscience #computer #artificialintelligence #quiz #computerprogramming #programming #programminglanguage #dev #developerlife
@pycodeai
425
MLPCA = Maximum variance + Minimum redundancy
👇
Orthogonal PCs
Follow @ml_ka_keeda for more such videos
Principal Components (PCs) are orthogonal because PCA finds directions of maximum variance that are uncorrelated with each other.
Orthogonality = No redundancy.
⸻
🔹 The Real Reason : PCA is based on the covariance matrix of the data.
Key property 👉 The covariance matrix is symmetric
And an important linear algebra result says:
➡️ Eigenvectors of a symmetric matrix are orthogonal
In PCA:
• PCs = Eigenvectors of the covariance matrix
So automatically → PCs are orthogonal.
⸻
🔹 Intuition
PCA works step-by-step:
Step 1: Find the direction with maximum variance
→ First Principal Component (PC1)
Step 2: Now find the next direction with:
✔️ Maximum remaining variance
❌ No overlap with PC1
To ensure no repeated information, PCA forces PC2 to be perpendicular to PC1.
Same logic continues for PC3, PC4…
#datascience #linearalgebra #statistics #machinelearning #dimensionality
@ml_ka_keeda
2.5K
VAStop memorizing solutions.
Start identifying patterns. 🧠
If a question says:
Subarray + Sum = K
Your brain should instantly think:
👉 PREFIX SUM.
That one shift takes you from O(n²) brute force
to O(n) optimized solution.
Most students practice problems.
Top candidates recognize patterns.
Save this for your next coding interview 💾
Comment “PREFIX” if this clicked 💡
#dsa
#datastructures
#algorithms
#codinginterview
#leetcode
#interviewprep
#ProgrammerLife
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#learntocode
@vandanacodes
108
DAA short quiz you can complete in moments. Encourages steady learning through repetition.
#knowledgecheck #learningeveryday #machinelearning #datascience
@datamindzquiz
1.1K
SYMy Secret revealed. There's very little "Maths". It's a computer. I let it do the math. I just tell it what when and where. It knows how many.
It's an Algebra engine. You feed it the Variables and the Formula. Don't do it's job. That actually makes it so much harder for it. Because it has to process your math backwards to move on. Let it think in its own language.
@synaptix_lab
177
5.5M
KRInsertion Sort (The Simple Helper) 🤏: Like sorting a hand of cards—simple and stable, but slow for large data (O(n^2)). Works like a charm for small or nearly sorted arrays (O(n)).
Heap Sort (The Guaranteed Performer) 🛡️: Uses Binary Heap for guaranteed O(n \log n) performance. Reliable for large data with minimal extra memory (O(1)).
@kreggscode
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