Pinned Repositories
Adaptive-Linear-Neuron
Adaline was published by Bernard Widrow and his doctoral student Tedd Hoff and can be considered as an improvement on the perceptron algorithm. This algorithm illustrates the key concepts of defining and minimizing the continuous cost function that lays the groundwork for understanding more advanced machine learning algorithms for classification, such as logistic regression, support vector machines and regression models
amazon-clone
Amazona
aryalp2.github.io
basobas-repo
blogapi
bookworm-react
Source code for free live-coding series on YouTube
Clustering-Analysis
Cluster analysis, a category of unsupervised learning techniques that allows us to discover hidden structures in data where we do not know the right answer upfront
coding-interview-university
A complete computer science study plan to become a software engineer.
Dimensionality-Reduction
Principal Component Analysis (PCA) for unsupervised data compression, Linear Discriminant Analysis (LDA) as a supervised dimensionality reduction technique for maximizing class separability, Nonlinear dimensionality reduction via Kernel Principal Component Analysis (KPCA)
aryalp2's Repositories
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