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.
Improving Data Quality using Data Cleansing and Normalization
Data Cleaning is the process of transforming raw data into consistent data that can be analyzed.
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