Best 1-Page Resource
Best short notes, 1-page resources for interviews. Save them, Keep it with you. These will help you before going to any interviews for sure.

RAG
2024RAG here is explained in very simpler way. Retrieval-Augmented Generation (RAG) is a powerful AI method that enhances LLM responses.

ML
DEC 2024These are some machine learning model which you should know if you are an aspiring data scientists.

DEEPSEEK R1
JAN 2025They used 3 most important techniques which was explained in their research paper.

Vector Search
JAN 2025They used 3 most important techniques which was explained in their research paper.

LLM Explained
FEB 2025A Large Language Model (LLM) is a sophisticated mathematical function that predicts the next word in a given piece of text. It forms the foundation of text-based AI models, such as those developed by OpenAI, DeepSeek, and other chatbot systems.

Data Cleaning
FEB 2025All data cleaning process methods explaiened here in one short note. .

Python String Methods
FEB 2025All python string methonds here in one short note.

RAG Pipeline
FEB 2025RAG Pipe Explained in deatiled in just one page.

AI Agents
FEB 2025AI Agents explained in details in just one page.

Confusion Matrix
FEB 2025Performance measurement for machine learning classification.

Linear Regression
FEB 2025Use fo predicting the value of a continuous dependent variable based on one or more independent variables.

Types Of Machine Learning
FEB 2025Types of machine learning which every Data Scientists should know.

Dustance Matrics In ML
FEB 2025Types of distance matrics present in machine learning.

Data Cleaning Steps
FEB 20258 Most important steps invloved in data cleaning.