Recommender Systems (Collaborative Filtering)The goal of a collaborative filtering recommender system is to generate two vectors: For each user, a ‘parameter vector’ that embodies the…Apr 7, 2024Apr 7, 2024
K-means ClusteringThe K-means algorithm is a method to automatically cluster similar data points together.Apr 2, 2024Apr 2, 2024
Decision TreesDecision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model…Mar 27, 2024Mar 27, 2024
Neural Networks for Handwritten Digit Recognition | (Multiclass)Neural networks are one of the most powerful mathematical strategies to mimic the function of the human brain to solve complex problems.Mar 20, 2024Mar 20, 2024
Linear Regression implementation in Python from scratch.Linear Regression stands as one of the simplest supervised machine learning algorithms, aiming to approximate the likelihood of a dependent…Feb 7, 20241Feb 7, 20241
