datascience

Introduction: Before going inside linear regression,lets know what is regression.Regression is defined as the technique for determining the statistical relationship between two or more variables where the change in one variable(i.e dependent variable) is associated with,depends on change in one or more variables(independent variable).Machine Learning mostly uses regression to predict the outcome.In this article we will see about linear regression ,types and many other topics in linear regression What is a linear regression? linear regression gives the relationship between the variables i.e dependent variable and independent variable. The dependent variable is continuous and the independent variable may be continuous or discrete linear regression is classified into two types:                                    *s...

Introduction to ML Model. Performing machinelearning involves creating model, which is trained on some training data and then can process additional data to make predictions .  A machine learning  model can be a mathematical representation of a real-world application . To generate a machine learning model you will need to provide training data to a machine learning algorithm to learn from. The model finds the pattern in the training data and compares the pattern with the input test data and gives the output(predictions) . The algorithm with the patterns of the training data is called a model. There are several algorithms that can be used on the need Data handling preparing data files before applying machine learning algorithms took a whole lot of time. The data handling refers to the data cleaning and processing. It means handling missing values in the dataset, the row containing the missing values are dropped and another way in handling the missing val...

What is machine learning? Machine learning is an application that can make the system to give the output from the past experiences . it is the process of making the system to learn from the past experiences without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Why machine learning? Machine learning models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results.  it’s possible to quickly and automatic...