TAG machine learning
Data Leakage in Machine Learning
After performing all the tasks of machine learning, you are yet to perform one of the interesting tasks which is to analyze your models and evaluate their performance. In order to do […]
Normalization vs Standardization in ML
Feature engineering is a critical step in building accurate and effective machine learning models. One key aspect of feature engineering is normalization, or standardization, which involves transforming the data to make it […]
Sarsa Algorithm Reinforcement Learning
Reinforcement Learning is the science of decision making. Reinforcement Learning is about learning the optimal behavior in an environment to obtain maximum reward. In the absence of a supervisor, the learner must […]
Feature Engineering in Machine Learning
All machine learning algorithms use data as the input to calibrate and generate output. Data is initially in its crudest form, requiring enhancement before feeding it to the algorithm. This input data […]
Support Vector Machine
Support Vector Machines (SVM), a fast and dependable algorithm that performs very well with a limited amount of data to analyze. SVM uses supervised learning models to solve complex classification, regression, and […]
Decision Tree Algorithm
Decision trees are essentially diagrammatic approaches to problem solving. These approaches are step-by-step approach and used to arrive at the final stage. As an example, let’s say, while driving a car, you […]
Linear and Nonlinear data in Machine Learning
For a data scientist, it is very important to know whether the dataset is linear or not. Because linear and non-linear are two types of classification models used in machine learning modeling.A […]
Cross Validation in Machine Learning
The process of determining whether the mathematical results calculating relationships between variables are acceptable as descriptions of the data is known as Validation. In this process, we measure the Training Error by […]
Reinforcement Learning in Machine Learning
Reinforcement learning has emerged as a promising area within machine learning to address sequential decision-making problems.It is a computational approach to learning whereby an agent tries to maximize the total amount of […]
Batch Learning vs Online Learning
Machine learning is about teaching computers how to learn on their own without explicit instructions. This involves the application of various algorithms to facilitate the learning process. When it comes to machine […]
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