anishLearnsToCode / ml-stanfordLinks
Machine Learning Course by Stanford on Coursera (Andrew Ng)
☆19Updated 3 years ago
Alternatives and similar repositories for ml-stanford
Users that are interested in ml-stanford are comparing it to the libraries listed below
Sorting:
- The notebooks are written in a way that they are sufficient on their own to learn the basics of Python, Machine Learning and Data Science…☆29Updated 6 years ago
- Solutions 📕 to coursera Course Natural Language Procesing with Probabilistic Models part of the Natural Language Processing 👨💻 Specia…☆11Updated 5 years ago
- The codes and implementation☆17Updated 4 years ago
- University of Michigan on Coursera☆32Updated 6 years ago
- This repo aims to contain different machine learning use cases along with the descriptions to the model architectures☆71Updated 3 years ago
- 📕 Solutions to Hackerrank 10 days of JavaScript Tutorial.☆11Updated 5 years ago
- Applied Artificial intelligence Course from Online course Notes☆174Updated 6 years ago
- 👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋☆207Updated 2 years ago
- This repository contains coding interviews that I have encountered in company interviews☆26Updated 6 years ago
- All the code files related to the deep learning course from PadhAI☆39Updated 4 years ago
- My Answer to 120 Data Science Interview Questions☆14Updated 5 years ago
- Last Minute Note of Machine learning and Deep learning by Jason Brownlee☆92Updated 6 years ago
- https://huyenchip.com/ml-interviews-book/☆10Updated 5 years ago
- Papers discussed in the meetings of IITG.ai with summaries and resources.☆24Updated last year
- This reposository consist of study material and my solutions of assignment problems☆13Updated 6 years ago
- Source Code Repository for the IST256 Python course☆11Updated 4 years ago
- 📙 Machine learning Knowledge Project 📙☆10Updated 4 years ago
- A booklet on machine learning systems design with exercises☆14Updated 6 years ago
- Machine Learning Concepts with Concepts☆174Updated 5 years ago
- Efficient code and competitive platform problems with solutions on Data Structure & Algorithms.☆15Updated 2 months ago
- This contains all the practices for the lectures, custom answers to the assignments and additional inline notes for "Python for Everybody…☆47Updated 9 years ago
- ☆42Updated 5 years ago
- The offical notes of Andrew Ng Machine Learning in Stanford University☆295Updated 3 years ago
- Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.☆153Updated 4 years ago
- Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques t…☆21Updated 4 years ago
- Course Materials for PadhAI Foundations of Data Science☆53Updated 5 years ago
- University of Michigan on Coursera☆58Updated 6 years ago
- ☆10Updated 8 years ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆10Updated 5 years ago
- Roadmap to learn AI for associates at McCarthy Lab@Next Tech Lab☆55Updated 6 years ago