Category: Machine Learning

There are several companies who hire data engineers or data scientists to make their data more reliable and secure; and for that purpose they use machine learning. The companies …

Linear Algebra in TensorFlow: TensorFlow is open source software under Apache Open Source license for dataflow which is frequently being used for machine learning applications like deep-neural-network to improve …

Machine learning is a subfield of Artificial Intelligence. The concept of machine learning originally started in 1959 by an American Arthur Samuel. He was an expert in the field …

Generally, data is a set of factual information based on numbers, words, observations, measurements that can be used for calculation, discussion and reasoning. The rough dataset is the essential …

Machine Learning is the most famous procedure of foreseeing the future or arranging data to help individuals in settling on essential choices. The algorithms are trained over models through …

In this article we are going to discuss machine learning with python with the help of a real-life example. Before we proceed towards a real-life example, just recap the …

Cluster Analysis Cluster is a group of data objects that are similar to one another within the same cluster, whereas, dissimilar to the objects in the other clusters. Cluster …

Logistic Regression is a predictive analysis which is used to explain the data and relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level …

Generally, Linear Regression is used for predictive analysis. It is a linear approximation of a fundamental relationship between two or more variables. Main processes of linear regression Get sample …