Here is a comprehensive and user-friendly tool designed to bridge the gap between complex machine learning concepts and practical understanding. Whether you’re a student, educator, data scientist, or just a curious learner, this tool is your go-to resource for quick insights into some of the most popular and widely used machine learning algorithms. From Linear Regression to more advanced techniques like XGBoost and Principal Component Analysis, the plugin offers a succinct summary of each algorithm, including its definition, typical use cases, and applicable Python and R libraries.
Select a Machine Learning Algorithm
Select a machine learning algorithm from the drop-down to view and learn the details.
Select a Feature Scaling Method
Select a feature scaling method to look at the related code.
I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.
Latest posts by Ajitesh Kumar (see all)
- Retrieval Augmented Generation (RAG) & LLM: Examples - February 15, 2025
- How to Setup MEAN App with LangChain.js - February 9, 2025
- Build AI Chatbots for SAAS Using LLMs, RAG, Multi-Agent Frameworks - February 8, 2025
I found it very helpful. However the differences are not too understandable for me