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 […]
Socializing is Healthy !
Checkout My Portfolio
Dreams | Passion | Code | Love
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 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 […]
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 […]