PAPulkit Ahujaindatasciencebypulkit.hashnode.dev·May 29, 2024 · 13 min readUnderstanding Gradient Boosting AlgorithmsIntroduction Boosting algorithms are powerful machine learning techniques designed to improve the performance of predictive models. In essence, boosting involves combining multiple weak learners, typically decision trees, to form a strong learner tha...00
PAPulkit Ahujaindatasciencebypulkit.hashnode.dev·May 28, 2024 · 10 min readUnderstanding PCA (Principal Component Analysis)Introduction Principal Component Analysis (PCA) is a technique used to reduce the number of variables in a dataset while keeping the most important information. It transforms the original data into a new set of variables called principal components. ...00
PAPulkit Ahujaindatasciencebypulkit.hashnode.dev·May 24, 2024 · 16 min readUnderstanding K-Means ClusteringIntroduction K-Means Clustering is an unsupervised learning algorithm used for partitioning a dataset into distinct groups or clusters. The algorithm works by initializing a set number of centroids (k), assigning each data point to the nearest centro...00
PAPulkit Ahujaindatasciencebypulkit.hashnode.dev·May 23, 2024 · 6 min readUnderstanding Naive Bayes AlgorithmIntroduction Naive Bayes is a simple yet powerful probabilistic machine learning algorithm used primarily for classification tasks. Based on Bayes' theorem, it assumes independence between features, which is a "naive" assumption in real-world scenari...00
PAPulkit Ahujaindatasciencebypulkit.hashnode.dev·May 19, 2024 · 10 min readUnderstanding KNN: K Nearest NeighborsIntroduction K-Nearest Neighbors (KNN) is a fundamental supervised learning algorithm widely used for classification and regression tasks in machine learning. This algorithm stands out due to its simplicity and effectiveness in various applications. ...00