Introduction Linear regression is one of the most used and simplest algorithms in machine learning, which helps predict linear data in almost all kinds of problem statements. Although linear regression is a parametric machine learning algorithm, the algorithm assumes certain assumptions for the data to make predictions faster and easier. ... Read More

Introduction In machine learning, the data features are one of the parameters which affect the model's performance most. The data's features or variables should be informative and good enough to feed it to the machine learning algorithm, as it is noted that the model can perform best if even less ... Read More

Introduction In machine learning, the data and its quality are one of the most critical parameters affecting the performance and other parameters while training and deploying the machine learning model. It is assumed that if good-quality data is provided to a poorly performing machine learning algorithm, there is a high ... Read More

Introduction Machine Learning and Deep Learning are emerging technologies in the current industry scenario. There is a lot of work related to the industry and significantly impacting the present world business scenario. There are lots of people who are trying to enter this field and want to get benefited. To ... Read More

Introduction In machine learning, the data and the knowledge about its behavior is an essential things that one should have while working with any kind of data. In machine learning, it is impossible to have the same data with the same parameters and behavior, so it is essential to conduct ... Read More