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Month: February 2018

Machine Learning : Multiple Linear Regression

Machine Learning : Multiple Linear Regression

Multiple Linear Regression used in machine learning processes can be best explained by taking an example of a business problem. Business problem – A funding company needs to analyze 50 companies with various factors like R&D, expense on marketing, profits, etc to check which companies […]

Automation everywhere! Even for cash-backs?

Automation everywhere! Even for cash-backs?

Wondering for a good cashback offer to pay the bill of my postpaid number, I came across this good offer at PayTM. It may sound cheap at first, but on a scale, this offer stood well for me and most importantly, it was always available. […]

Machine Learning : Simple Linear Regression

Machine Learning : Simple Linear Regression

Regression in terms of mathematics means a relationship between the values – particularly the output value with its corresponding values. Regression models in machine learning are used to predict real values. Let’s assume the case where we have a dataset that defines the salary trend […]

Environment setup for Machine Learning

Environment setup for Machine Learning

With machine learning, the most common principle is to create one program to solve many problems without having the need to be re-written. For a start to machine learning, you first need to train a classifier. A classifier can be considered a function which will […]

A Quick Start to Machine Learning

A Quick Start to Machine Learning

As per the definition by Wikipedia, Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. To my understanding, Machine Learning can be best explained as the answer to the question – how can we build […]