data-science 20
- Coding Transformer Model from Scratch Using PyTorch - Part 2 (Data Processing and Preparation)
- Coding Transformer Model from Scratch Using PyTorch - Part 1 (Understanding and Implementing the Architecture)
- Machine Translation using Attention with PyTorch
- Machine Translation using Recurrent Neural Network and PyTorch
- Support Vector Machines for Beginners – Training Algorithms (Part 4)
- Support Vector Machines for Beginners – Kernel SVM (Part 3)
- Support Vector Machines for Beginners – Duality Problem (Part 2)
- Support Vector Machines for Beginners – Linear SVM (Part 1)
- Linear Discriminant Analysis – from Theory to Code
- Implement Canny edge detector using Python from scratch
- How to implement Sobel edge detection using Python from scratch
- Applying Gaussian Smoothing to an Image using Python from scratch
- Introduction to Naive Bayes Classifier using R and Python
- Understanding and implementing Neural Network with SoftMax in Python from scratch
- Understand and Implement the Backpropagation Algorithm From Scratch In Python
- Implement Viterbi Algorithm in Hidden Markov Model using Python and R
- Derivation and implementation of Baum Welch Algorithm for Hidden Markov Model
- Forward and Backward Algorithm in Hidden Markov Model
- Introduction to Hidden Markov Model
- How to visualize Gradient Descent using Contour plot in Python