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XGBoost is a powerful ensemble learning algorithm based on the gradient boosting framework. It is widely used for classification and regression tasks due to its efficiency and high accuracy.
Gradient Descent Imagine trying to reach the lowest point in a landscape without being able to see the entire terrain. You take a step, observe whether you are
Natural Language Processing (NLP)NLP and Text ProcessingNLP stands at the intersection of linguistics, computer science, and AI. It enables machines to understa
Random Forest (ID3 algorithm)Random Forest is a machine-learning algorithm that builds many decision trees and then combines their results to make a better fina
✅ Data Preprocessing and Grid Search🌟 What is Data Preprocessing?Data preprocessing is the process of preparing raw data for use in a machine learning model.It
Loss Functions:Loss functions help, how a machine learning model is performing with its given data, and how well it's able to predict an expected outcome. Many
AlgorithmConstruct the decision tree using the algorithm for the given data set.S.noAgeCompetitionTypeProfit (Class)1OldYesSoftDown2OldNoSoftDown3OldNoHardDown
KNN Classification / ClassifierPicture this: you’re at a crowded Indian wedding, trying to figure out which side of the family a guest belongs to. You don’t ask
Support Vector Machine (SVM)Support Vector Machine (SVM) is one of the most powerful supervised machine learning algorithms used for classification and regressi
Logistics regressionClassification is a kind of problem in machine learning in which a machine learning model assigns the respective class to unseen data based
Polynomial RegressionNot all relationships in data are straight lines—and that’s where polynomial regression becomes powerful. When patterns start to curve, ben
Regressionlinear regressionpolynomial regressionlogistic regressionLinear regression is a method in machine learning where we fit a straight line to a set of da
Types of LearningKNN AlgorithmK-Nearest Neighbors (KNN) is a simple, non-parametric algorithm used for classification and regression. In KNN, the input consists
LearningA computer program/algorithm (system/model) is said to learn from experience 'E' with respect to some class of tasks 'T' and performance measure 'P' if
Machine LearningMachine learning is a mathematical, statistical, and logical model (system, algorithm). In ML, we train machines with past data and experience.M