Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

10 Weeks, 20 Lessons, Data Science for All!

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! W…

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

A course in reinforcement learning in the wild

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

DL course co-developed by YSDA, HSE and Skoltech

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

Quantitative Interview Preparation Guide, updated version here ==>

A Repository consisting resources primarily of the Gate DA and AI

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly …

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

This repository contains all the data analytics projects that I've worked on in python.

A repository with IPython notebooks of algorithms implemented in Python.

Released assignments for the Stanford's CS131 course on Computer Vision.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Machine Learning Q and AI book

Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-orie…

The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your…

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps h…

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manip…

Natural Language Processing Tutorials(NLP) with Julia and Python

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both…