Tutorials

INTRODUCTION TO MACHINE LEARNING: A 7 STEP GUIDE FOR BEGINNERS

This guide will cover the basics of machine learning models, the programming languages commonly used, data preprocessing, choosing a machine learning algorithm, training and testing the model, evaluating model performance, and deploying and monitoring the model.

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The Basics of Data Preprocessing in Machine Learning

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Data preprocessing is the process of cleaning, transforming, and preparing raw data for analysis. It involves several steps such as handling missing values, encoding categorical variables, scaling numerical features, and more. The goal of data preprocessing is to make data consistent and usable for machine learning algorithms.

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