Blog posts by: Anushka S
Anomaly Detection with DBSCAN
Clustering
Unsupervised Learning
Machine Learning
DBSCAN
Anomaly Detection
Unsupervised Learning in artificial intelligence is a type of machine learning that learns from data without human supervision. Unlike supervised…
Classification: Predicting the onset of diabetes
Classification
Machine Learning
Supervised Learning
SVM
Random Forest
Decision Tree
XGBoost
Supervised learning, also known as supervised machine learning, is a subcategory of…
Clustering with K-Means
Clustering
Unsupervised Learning
Machine Learning
K-Means
In this blog, we explore the application of identifying the most dominant colours in an image using K-Means Clustering.
Probability Theory
Probability Theory
Machine Learning
Random Variables
Hidden Markov Models
Viterbi algorithm
Baum Welch
Hidden Markov Models (HMMs) are a powerful statistical tool used in various fields, including speech recognition, bioinformatics, and natural language processing. Grounded…
Regression Analysis: Linear Regression and Non-Linear Regression
Regression
Machine Learning
Supervised Learning
SVM
Random Forest
Decision Tree
Gradient Boost
Linear
Non-Linear
Supervised learning, also known as supervised machine learning, is a subcategory of…
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