rragundez / coursera-machine-learning-AndrewNg-PythonLinks
This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.
☆47Updated 9 years ago
Alternatives and similar repositories for coursera-machine-learning-AndrewNg-Python
Users that are interested in coursera-machine-learning-AndrewNg-Python are comparing it to the libraries listed below
Sorting:
- Codes, notes and guides on Udacity's machine learning nanodegree.☆83Updated 8 years ago
- A curated list of data science blogs☆100Updated 7 years ago
- Code from Jason Brownlee's course on mastering machine learning☆124Updated 8 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 6 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆153Updated 7 years ago
- Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.☆88Updated 2 years ago
- ☆110Updated 9 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 9 years ago
- Tutorials on Machine Learning with Scikit-Learn☆83Updated 4 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Codes related to various ML Hackathons☆213Updated 6 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆15Updated 8 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 6 years ago
- Repo cataloging my coursework for Andrew Ng's ML MOOC☆145Updated 5 years ago
- Deep Learning Tutorial notes and code. See the wiki for more info.☆71Updated 9 years ago
- A complete daily plan for studying to become a machine learning engineer.☆52Updated 8 years ago
- Introduction and Career Guide for Data Science enthusiasts☆9Updated 6 years ago
- Statistics for Machine Learning, published by Packt☆157Updated 2 years ago
- Detailed notes and code to learn the basics of machine learning with scikit-learn.☆35Updated 8 years ago
- This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.☆153Updated 2 years ago
- A curated list of repositories for my book Machine Learning Solutions.☆79Updated 7 years ago
- iPython NOtebooks on Stats☆164Updated 11 months ago
- Generic codes related to NLP☆85Updated 6 years ago
- Code files added☆99Updated 2 years ago
- Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the pur…☆66Updated 6 years ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆87Updated 7 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆180Updated 7 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone☆211Updated 5 years ago
- Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course☆87Updated 7 years ago