⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
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⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
- andrew-ng
- andrew-ng-machine-learning
- coursera
- coursera-assignment
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
- deep-learning
- coursera
- coursera-assignment
- coursera-specialization
Starter Files and Solutions for Full Stack Advanced React and GraphQL
- react
- javascript
- sick
- fits
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
- esl
- statistical-learning
- esl-cn
- r
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
- datascience
- machine-learning
- statistical-learning
- python
Solutions of Reinforcement Learning, An Introduction
- reinforcement-learning
- exercise-solutions
- self-study
- solutions
Solutions to all the exercises of the Algorithms book by Robert Sedgewick and Kevin Wayne
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
Notes and exercise attempts for "An Introduction to Statistical Learning"
机器学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual
- machine-learning
- statistical-learning-method
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Matlab Coding homework for Machine Learning
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍
Practice with "Real" SQL Problems
Solutions to In-Class questions, Problem Sets and Exams of MIT Mathematics for Computer Science 2015 (same as 2019 Open Learning Library)
- calculus
- counting
- functions
- graph
In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.
Working my way through cracking the coding interview in Go, because I want to learn it
Reimplementation of Natural Number Game in Coq