rj425 / ML-CourseraLinks
This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
☆70Updated 6 years ago
Alternatives and similar repositories for ML-Coursera
Users that are interested in ML-Coursera are comparing it to the libraries listed below
Sorting:
- Data science teaching materials☆152Updated 8 months ago
- My 100 Days of ML Code Challenge Repository. Note: I stopped updating in the blogger site. The days after 100 days are documented in anot…☆110Updated 3 years ago
- To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.☆118Updated 6 years ago
- Notes and solutions for the Mathematics for Machine Learning Specialization☆80Updated 6 years ago
- A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the …☆90Updated 5 years ago
- Notes from Introduction to Statistical Learning☆117Updated 7 years ago
- Notes taken from Google Machine Learning Course provided to public for practice & correction.☆204Updated 2 years ago
- Compendium of tips to help you apply to machine learning and data science jobs.☆52Updated 5 years ago
- Build and deploy a machine learning app from scratch 🚀☆393Updated 2 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 7 years ago
- Learn how to build a data analysis library from scratch☆208Updated 3 years ago
- Notebooks for the "ML from the Fundamentals" series☆63Updated 5 years ago
- Collected opinions and advice for academic programs focused on data science skills.☆440Updated 5 years ago
- Harvard CS109b Public Repository☆238Updated 5 years ago
- This course covers how you can use NLP to do stuff.☆268Updated 5 years ago
- Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.☆109Updated 2 years ago
- Machine learning fundamentals lesson in interactive notebooks☆179Updated 4 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- DataScience365☆54Updated 6 years ago
- ☆155Updated 5 years ago
- A collection of materials to help you learn about deep learning☆181Updated last year
- COMS W4995 Applied Machine Learning - Spring 20☆243Updated 3 years ago
- A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…☆63Updated 5 years ago
- Machine learning flashcards☆221Updated 4 years ago
- Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera☆137Updated 7 years ago
- Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?☆264Updated 6 years ago
- A constantly updated python machine learning cheatsheet☆167Updated 8 years ago
- Public Repository for cs109a, 2017 edition☆328Updated 2 years ago
- Notebook to download machine learning flashcards☆456Updated 5 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆437Updated 4 years ago