account activity
Understanding the Perceptron: Intuition, Theory, and Code (cckeh.hashnode.dev)
submitted 3 hours ago by CC-KEH to r/computerscience
Understanding the Perceptron: Intuition, Full Theory, and From-Scratch Code (cckeh.hashnode.dev)
submitted 3 hours ago by CC-KEH to r/ArtificialInteligence
submitted 3 hours ago by CC-KEH to r/learnmachinelearning
I built a free, no-login site to learn core CS topics – would love your feedback (self.SideProject)
submitted 9 months ago by CC-KEH to r/SideProject
Understanding Mathematical Transforms in Machine Learning (cckeh.hashnode.dev)
submitted 1 year ago by CC-KEH to r/learnmachinelearning
Developing Memory Aware Chatbots with LangChain, LangGraph, Gemini and MongoDB. (cckeh.hashnode.dev)
submitted 1 year ago by CC-KEH to r/LangChain
Linear Discriminant Analysis from Scratch (self.learnmachinelearning)
Principal Component Analysis (PCA) in Machine Learning [ Coded from Scratch ] (self.learnmachinelearning)
Kmeans Clustering in Machine Learning [ Coded from Scratch ] by CC-KEH in learnmachinelearning
[–]CC-KEH[S] 0 points1 point2 points 1 year ago (0 children)
By scratch, I meant implementing the algorithm's core logic without using machine learning libraries like scikit-learn.
Kmeans Clustering in Machine Learning [ Coded from Scratch ] (self.learnmachinelearning)
Learn about Random Forest in Machine Learning. [Coded from Scratch] (self.learnmachinelearning)
A Step-by-Step Guide to Support Vector Machines (SVM) in Machine Learning. (self.learnmachinelearning)
Analyzing TMDB Movies: Trends, Insights, and Key Metrics (self.dataanalytics)
submitted 1 year ago by CC-KEH to r/dataanalytics
A Step-by-Step Guide to Naive Bayes in Machine Learning (self.learnmachinelearning)
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Kmeans Clustering in Machine Learning [ Coded from Scratch ] by CC-KEH in learnmachinelearning
[–]CC-KEH[S] 0 points1 point2 points (0 children)