Adjusted R-squared
Adjusted R-squared is a statistical measure used to evaluate the goodness of fit of a regression model, accounting for the number of predictors to avoid overfit...
4 min read
Statistics
Regression
+3
Regression
Decision Tree
A decision tree is a powerful and intuitive tool for decision-making and predictive analysis, used in both classification and regression tasks. Its tree-like st...
6 min read
Decision Trees
Machine Learning
+5
Discriminative Models
Learn about Discriminative AI Models—machine learning models focused on classification and regression by modeling decision boundaries between classes. Understan...
7 min read
Discriminative Models
AI
+6
Gradient Boosting
Gradient Boosting is a powerful machine learning ensemble technique for regression and classification. It builds models sequentially, typically with decision tr...
5 min read
Gradient Boosting
Machine Learning
+4
K-Nearest Neighbors
The k-nearest neighbors (KNN) algorithm is a non-parametric, supervised learning algorithm used for classification and regression tasks in machine learning. It ...
6 min read
Machine Learning
KNN
+3
LightGBM
LightGBM, or Light Gradient Boosting Machine, is an advanced gradient boosting framework developed by Microsoft. Designed for high-performance machine learning ...
5 min read
LightGBM
Machine Learning
+5
Linear Regression
Linear regression is a cornerstone analytical technique in statistics and machine learning, modeling the relationship between dependent and independent variable...
4 min read
Statistics
Machine Learning
+3
Mean Absolute Error (MAE)
Mean Absolute Error (MAE) is a fundamental metric in machine learning for evaluating regression models. It measures the average magnitude of errors in predictio...
6 min read
MAE
Regression
+3
Random Forest Regression
Random Forest Regression is a powerful machine learning algorithm used for predictive analytics. It constructs multiple decision trees and averages their output...
3 min read
Machine Learning
Regression
+3
Supervised Learning
Supervised learning is a fundamental approach in machine learning and artificial intelligence where algorithms learn from labeled datasets to make predictions o...
10 min read
Supervised Learning
Machine Learning
+4
Supervised Learning
Supervised learning is a fundamental AI and machine learning concept where algorithms are trained on labeled data to make accurate predictions or classification...
3 min read
AI
Machine Learning
+3