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Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. While they have some similarities, they also have some key differences that make them suitable for different types of problems. DECISION TREES A decision tree is a flowchart-like tree structure that makes a decision based on the values of …

Data Science | Difference Between Random Forrest And Decision Trees Read More »

Docker orchestration is the process of managing and coordinating multiple Docker containers to work together as a single system. This can be especially useful for applications that are composed of multiple microservices, as it allows developers to easily deploy, scale, and manage the individual components of the application. One of the main benefits of using Docker orchestration is that it …

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ChatGPT is a state-of-the-art natural language processing (NLP) model developed by OpenAI that is designed to generate human-like text based on a given prompt. This revolutionary technology has the potential to transform the way we interact with artificial intelligence (AI) and could play a significant role in shaping the future of the field. One of the …

CHATGPT – THE PEEK INTO THE FUTURE OF AI. Read More »

DECISION TREE VS. LOGISTIC REGRESSION – WHEN TO USE WHAT? Decision Tree and logistic regression are two popular machine learning algorithms that are often used for classification tasks. While both approaches can be effective in certain situations, they have a number of important differences that make them more suitable for certain types of problems. One of the main …

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