What are regression models in supervised learning — In machine learning we have different types of models and algorithms. As the regression models comes in the field of supervised learning. In this type the model predicts an integer number as output. In this article we will discuss about what is regression algorithm, types of regressors, and where we…

What are classification models in supervised learning — In machine learning we have different types of models and algorithms. As the classification models comes in the field of supervised learning. In this type the model classify the data into classes. In this article we will discuss about what is classification algorithm, types of classifier, and where we can…

Importance of maths in Machine Learning — Many readers and beginners have asked me multiple times whether we really need maths for machine learning, and I believe this is the most often asked question by many of my friends and students, so I am writing an article in which I will answer this topic for once last…

Useful functions in Pandas for Data Science and Machine Learning — The most widely used Python library, Pandas, is used mostly for cleaning, preparing, analysing, and manipulating data. The pandas library may be used for many different things. It helps speed up and streamlines our job. In this article, we will discussthe most popular and widely used pandas functions, which will…

Photo by Kaitlyn Baker on Unsplash Apache JMeter is a widely used open source testing tool for analyzing and measuring the performance of software applications and products. It is an open source program written in java that is used for testing web applications or FTP applications. JMeter does performance, load…

Non-fungible tokens (NFTs) have become the buzzword of the 2020s. Everyone, from different brands in different sectors to private individuals, are interested in creating their own collections. NFT art has been selling for millions of dollars, with transaction volumes reaching unexpected highs during the latest bull run. You’ve probably heard…

An introduction to machine learning algorithms — In this article, I would be giving you a detailed explanation and how this model works. Also we will be looking at various types of kernels. What is Support vector machine The support vector model, which is separated into two sections, may be utilised for both regression and classification issues. Support vector machine (SVM) is…

Understanding training and test data in Machine Learning — When machine learning algorithms are used to generate predictions on data that was not used to train the model, their performance is estimated using the train-test split technique. It is a quick and simple process to carry out, and the outcomes let you evaluate the effectiveness of machine learning algorithms…

Understanding Regularization in Machine Learning — A machine learning model can quickly become overfitted or underfitted during training. To prevent this, we appropriately fit a model onto our test set using regularisation in machine learning. Regularization methods aid in obtaining the best model by lowering the likelihood of overfitting. In this article we would be knowing…