No description available

100xdevs Bootcamp 1.0 @hkirat Contains All the Assignments and Notes. ( WebDev + DevOps, AI and ML, Web3, DSA )

Currently attending the Data Science & AI Bootcamp at ATOMCAMP, where I’m learning Power BI , SQL , MATH , PYTHON , EDA , ETL , ML & DL , CV , NLP , MLOPs, GEN AI , AI Agents. This repository documents my notes, assignments, and projects as I progress through the bootcamp.

Apps/Notes from Data Science & ML Bootcamps

Handwritten ML notes by Baldeep Singh with refrence to Krish Naik's "Complete Data Science,Machine Learning,DL,NLP Bootcamp" course

A compact collection of our team's solutions, notes, and learnings from the FutureSkills Prime Artificial Intelligence BootCamp at Parul University — covering Python, ML, Deep Learning, CV, NLP, and AI Ethics.

ML Bootcamp notes

Work and notes at Integrify ML bootcamp

No description available

No description available

notes from ML bootcamp at the WE program

Includes my notes from the ras ml bootcamp

This are my notes from ZTM ML Bootcamp (Supervised Learning).

No description available

This repo contains projects completed and notes from AI/ML bootcamp

Repository for all notes and assignments related to my AI/ML bootcamp

Documenting my AI/ML Engineering bootcamp journey — projects, notes, and progress from day one.

Notes and practice code from the Complete Data Science, ML, DL, and NLP Bootcamp.

This repository will contain all the lecture notes and assignments that fall under ML bootcamp on udemy.

Repository for storing notes related to the 'New Programming and Mathematics Bootcamp' - covering mathematical foundations for AI/ML

Machine Learning and Data Science Bootcamp training (Udemy). ML project workflow explained - with notes and examples for supervised learning

This repository contains all the projects and notes from my 10-day Machine Learning Bootcamp. The camp covered fundamentals to hands-on projects, including classification, regression, clustering, recommendation, and end-to-end ML workflows.

Machine Learning 10-Day Intensive Bootcamp structured with 8 hours daily learning. Covers ML fundamentals, data preprocessing, EDA, regression, classification, clustering, model evaluation, and mini projects using real-world datasets. Includes notes, code notebooks, and interview preparation resources.

This repository contains my hands-on exercises, notes, and projects from the Udemy course Python for Data Science and Machine Learning Bootcamp by Jose Portilla. It covers core data science and ML concepts using Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, and more.