ML Vs AI

 ML

Python pkg

1.numpy
2.pandas
3.Matplotlib
4.seaborn
5.scikitlearn


Maths

1.Linear algebra
2.statistics
3.probability
4.calculus


EDA - Exploratory Data Analysis (data trasform)

Types - supervised learning,unsupervised learning & reinforced learning (Algorithms will be used)

usecase - Training & Testing a model

Good for Beginers & Freshers



AI


python basics

Gen AI framework - Langchain,Langgraph,LlamaIndex,haystack,sematic kernel

Agentic AI framework -  CrewAI & autogen, metaGPT

RAG

fine-tuning (open source model)- unsloth

Google ADK

MCP

A2A

use case - Build production Applications

Good for Experienced 


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