## 7 Commonly Used Machine Learning Algorithms for Classification

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 foundation of data science and it may be of diverse types, such as structured data and unstructured data and semi-structured. Structured data is formatted in tabular … Read more

## How to do regression in excel? (Simple Linear Regression)

Performing regression analysis in excel is a very easy task. Before going towards practical, we recall the concepts of regression. Let’s describe it briefly. Regression is used for predictive analysis. It is used for finding the strength of predictors and forecasting an effect. Its most common type is linear regression. The linear regression can be … Read more

## Implementing Support Vector Machine (SVM) in Python

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 which they gain information from past encounters so as to make forecasts about what’s to come. There are three types of Machine learning i.e. supervised learning, … Read more

## Machine Learning With Python – A Real Life Example

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 basic concept of Linear Regression. Usually, Linear Regression is used for predictive analysis. It is a linear approximation of a fundamental relationship between two (one dependent … Read more

## What is Clustering & its Types? K-Means Clustering Example (Python)

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 analysis is a technique used to classify the data objects into relative groups called clusters. Clustering is an unsupervised learning approach in which there are no … Read more

## Logistic Regression (Python) Explained using Practical Example

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 independent variables. It is mostly used in biological sciences and social science applications. For instance, predict whether received email is spam or not. Similarly, predict whether … Read more

## Simple and Multiple Linear Regression in Python

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 data Design a model that works best for that sample Make prediction for the whole population Main uses of regression analysis Finding the strength of predictors … Read more