dive-into-machine-learning / dive-into-machine-learningLinks
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
☆11,382Updated 3 years ago
Alternatives and similar repositories for dive-into-machine-learning
Users that are interested in dive-into-machine-learning are comparing it to the libraries listed below
Sorting:
- machine learning and deep learning tutorials, articles and other resources☆17,524Updated last year
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,853Updated last year
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,586Updated last year
- A curated list of data science blogs☆6,367Updated last year
- A curated list of awesome Machine Learning frameworks, libraries and software.☆71,580Updated last week
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,211Updated 2 years ago
- common data analysis and machine learning tasks using python☆5,696Updated last year
- Repository of teaching materials, code, and data for my data analysis and machine learning projects.☆6,603Updated 2 years ago
- Minimal and clean examples of machine learning algorithms implementations☆10,946Updated 7 months ago
- [Archived.] Teammates asked for Python resources; here ya go! :) For more up to date resources go here: https://github.com/alexmojaki/fu…☆381Updated 3 years ago
- A collection of IPython notebooks covering various topics.☆2,609Updated 5 years ago
- The most cited deep learning papers☆26,094Updated 2 years ago
- A complete daily plan for studying to become a machine learning engineer.☆28,715Updated last year
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,401Updated 6 years ago
- An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks☆5,118Updated 4 years ago
- A curated list of awesome Deep Learning tutorials, projects and communities.☆27,475Updated 8 months ago
- From the basics to slightly more interesting applications of Tensorflow☆5,669Updated 4 years ago
- A list of popular github projects related to deep learning☆6,115Updated last year
- An awesome Data Science repository to learn and apply for real world problems.☆28,311Updated this week
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,751Updated 11 months ago
- Oxford Deep NLP 2017 course☆15,867Updated 2 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,444Updated 2 years ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆30,655Updated 2 years ago
- The Open Source Data Science Masters☆25,989Updated 2 years ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,467Updated 8 years ago
- An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.☆4,784Updated 3 years ago
- Deep Learning Tutorial notes and code. See the wiki for more info.☆4,151Updated 5 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,473Updated last year
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆24,185Updated 2 months ago
- Open Content for self-directed learning in data science☆2,988Updated 8 months ago