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.
How Data Visualization helps in Unifying Business Vision
Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide..
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.
