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,
Improving Data Quality using Data Cleansing and Normalization – Part Two
In this blog, I will be explaining about how to further clean the technical data into a ‘Consistent Data’ and the methodologies adopted.
How Exploratory Data Analysis helps in gaining meaningful Insights
This blog focuses on Exploratory Data Analysis and how it plays an important role in obtaining meaningful and useful information from the data using Visualization
Predictive Analytics – How Optimized Pricing increases Revenue and boost Sales
Ever wondered how airline prices work, what process is involved before fixing up a price for any product
Demystifying ChatBots
Chatbots, also called as “Voice Bot’s”, have become enormously popular over the last few years
