Learning

Machine Learning

Decision Tree from Scratch
7 min
ML
Classification
Regression
From Scratch

Implementing Decision Tree for both Classification and Regression using Gini Index, Entropy, and Information Gain from scratch.
Gradient Boosting from Scratch
5 min
ML
Classification
Regression
Ensemble
From Scratch

Implementing Gradient Boosting for both Classification and Regression from scratch.
K-Means Clustering from Scratch
5 min
ML
Clustering
Unsupervised
From Scratch

Implementing K-Means from scratch.
K-Nearest Neighbours from Scratch
10 min
ML
Classification
Regression
From Scratch

Implementing K-Nearest Neighbours for both Classification and Regression with weighted and unweighted variants from scratch.
Linear Regression from Scratch
4 min
ML
Regression
From Scratch

Implementing Linear Regression using both Closed Form Solution and Gradient Descent from scratch.
Logistic Regression from Scratch
3 min
ML
Classification
From Scratch

Implementing Logistic Regression using Gradient Descent with Binary Cross Entropy loss from scratch.
Naive Bayes from Scratch
4 min
ML
Classification
From Scratch

Implementing Gaussian Naive Bayes classifier using Bayes theorem and the naive independence assumption from scratch.
Random Forest from Scratch
5 min
ML
Classification
Regression
Ensemble
From Scratch

Implementing Random Forest ensemble method for both Classification and Regression using bootstrapping and feature bagging from scratch.
Support Vector Machine from Scratch
9 min
ML
Classification
Regression
From Scratch

Implementing SVM for Classification (SVC) and Regression (SVR) using Sub-Gradient Descent from scratch.
Utils - SVD, PCA, Jacobi from Scratch
7 min
ML
Linear Algebra
SVD
PCA
From Scratch

Implementing fundamental linear algebra algorithms: Singular Value Decomposition (SVD) with image compression, Principal Component Analysis (PCA), and Jacobi eigenvalue…
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