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Machine Learning

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 […]

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 […]

Data Preprocessing for Machine Learning

Data Preprocessing for Machine Learning

Data is the core basis of any computer environment. For machine learning systems, data is required to be fetched and first converted into a usable form. To process the raw input data and convert it into a usable form for machine learning is called as […]

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 […]