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    Support-Vector Machine: Classify using Sklearn

    Why it’s great to master the concept of separation and Support Vector Machines (SVM)? In this tutorial, we will cover the following? By mastering the concept of separation and becoming proficient in SVM, you will enhance your machine learning skills and be well-equipped to tackle classification problems with confidence and accuracy. Step 1: What is … Read more

    Linear Classifier From Scratch Explained on Real Project

    Why it’s great to master Supervised Learning and the Perceptron classifier? In this tutorial, we will cover the following? Step 1: What is Supervised Learning? Supervised learning (SL) is the machine learning task of learning a function that maps an input to an output based on example input-output pairs wikipedia.org Said differently, if you have some items you need to … Read more

    What is Machine Learning? Exemplified with k-Nearest-Neighbors Classifier (KNN) to Predict Weather Forecast

    What will we cover? This tutorial will explain what Machine Learning is by comparing it to classical programming. Then how Machine Learning works and the three main categories of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning. Finally, we will explore a Supervised Machine Learning model called k-Nearest-Neighbors (KNN) classifier to get an understanding through practical … Read more