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Series
Join me on a journey to learn machine learning from scratch! As a beginner, I’ll share insights, challenges, and hands-on projects to help us both master ML concepts and techniques together.
What is Machine Learning? Machine Learning can be considered as a child learning from their daily observations or from the mistakes they make and the feedback he receive from parents. We train a child based on their experience, we train a computer ba...
In this blog we will deeply dive into data and data preprocessing required before using any raw data for training ML model. before going further let's quickly revise what we learned in last blog of this series. We talked about machine learning, type ...
As a machine learning enthusiast, Linear Regression is an ideal starting point due to its simplicity in demonstrating how models work and the fundamental logic behind predictions. In this blog, we'll explore both simple and multiple linear regression...
Introduction In this Article, we’ll be diving into three important classification models: Logistic Regression K-Nearest Neighbors (KNN) Linear Discriminant Analysis (LDA) As mentioned earlier, there are two types of prediction problems: Regress...
Introduction In the first part, we explored what a classification model is, using logistic regression as an example, along with the confusion matrix and different performance evaluation methods. In this article, we'll dive into two additional classif...
Introduction We’ve already explored some basic machine learning models, and now, we’ll dive into Decision Trees, one of the most popular and powerful machine learning techniques. Decision trees are not only easy to interpret but also highly effective...
