Machine Learning (Page 4)

Housing prices are an important reflection of the economy, and housing price ranges are of great interest for both buyers and sellers. Ask a home buyer to describe their dream house, and they probably won’t begin with the height of the basement ceiling or the proximity to an east-west railroad.Continue Reading

Regression analysis is a statistical method to model the relationship between a dependent (target) and independent (predictor) variables with one or more independent variables. More specifically, Regression analysis helps us to understand how the value of the dependent variable is changing corresponding to an independent variable when other independent variablesContinue Reading

Polynomial Regression is a regression algorithm that models the relationship between a dependent(y) and independent variable(x) as nth degree polynomial. The Polynomial Regression equation is given below: y= b0+b1x1+ b2x12+ b2x13+…… bnx1n It is also called the special case of Multiple Linear Regression in ML. Because we add some polynomialContinue Reading

Linear Regression:It is the basic and commonly used type for predictive analysis. It is a statistical approach to modelling the relationship between a dependent variable and a given set of independent variables. These are of two types: Simple linear Regression Multiple Linear Regression Let’s Discuss Multiple Linear Regression using Python.Continue Reading

Simple Linear Regression Simple linear regression is a statistical method you can use to study relationships between two continuous (quantitative) variables: independent variable (x) – also referred to as predictor or explanatory variable dependant variable (y) – also referred to as response or outcome The goal of any regression model is to predict theContinue Reading

So far in this course we have been creating models using the default settings. For example, we can create a KNN regressor in Python by constructing a KNeighborsRegressor with no arguments: We can inspect the model to see what these default settings are: KNeighborsRegressor(algorithm=’auto’, leaf_size=30, metric=’minkowski’,metric_params=None, n_jobs=None, n_neighbors=5, p=2, weights=’uniform’)Continue Reading

Distinguishing Features of kNN Now that you understand the basic idea behind machine learning, the next step is understanding why there are so many models available. The linear model that you just saw is called linear regression. Linear regression works in some cases but doesn’t always make very precise predictions. That’sContinue Reading

What is KNN and how it works: Let’s head by setting some definitions and notations. We will take x to denote a feature and y to denote the target. KNN falls in the supervised learning algorithms. This means that we have a dataset with labels training measurements (x,y) and would want toContinue Reading

Introduction to Clustering It is basically a type of unsupervised learning method . An unsupervised learning method is a method in which we draw references from datasets consisting of input data without labelled responses. Generally, it is used as a process to find meaningful structure, explanatory underlying processes, generative features, and groupingsContinue Reading