Image Classification using k-means clustering algorithm
K-Means is an introductory algorithm to clustering techniques and it is the simplest of them. K-Means is an easy to implement and handy algorithm.
Dimensionality Reduction using Principal Component Analysis
Principal component analysis (PCA) is a technique used for identification of a smaller number of uncorrelated variables known as principal components from a larger set of data.
Using Logistic Regression to predict Loan Defaults
A Logistic Regression classifies observations by estimating the probability that an observation is in a particular category.
Spam Filtering using Naive Bayes Classifier
Naive Bayes is a probabilistic classification method based on the Bayes Theorem. In general, the Bayes Theorem gives the relationship between the probabilities of two events and their conditional probability.
Effective Forecasting using Linear Regression
Linear Regression is an analytical technique used to model the relationship between several input variables and a continuous outcome variable.
Effective Decision Making using Decision Trees
Decision Trees is a type of Supervised Algorithm, which uses a tree structure to specify sequences of decisions and consequences, for a given input X,
