lemoz / Cheatsheets
All the cheat sheets you need as a novice machine learning engineer
☆215Updated 7 years ago
Alternatives and similar repositories for Cheatsheets:
Users that are interested in Cheatsheets are comparing it to the libraries listed below
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆311Updated 3 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 7 years ago
- Sam Finlayson's Academic blog☆95Updated 4 years ago
- Machine Learning Tutorials in Python☆193Updated 4 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago
- Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016☆411Updated 8 years ago
- Scikit-learn tutorial at SciPy2016☆516Updated 6 years ago
- Learn to Build a Machine Learning Application from Top Articles☆113Updated 7 years ago
- How to build convolutional neural networks from scratch w/ Tensorflow☆87Updated 7 years ago
- My personal reference for Tensorflow☆153Updated 7 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 6 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆109Updated 7 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- A repo with tutorials for algorithms from scratch☆99Updated 6 years ago
- A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)☆225Updated 6 years ago
- Code material for a data science tutorial☆198Updated 7 years ago
- Notebook to download machine learning flashcards☆456Updated 4 years ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆73Updated last year
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- An introduction to implementing a number of scikit-learn classifiers, along with some data exploration☆102Updated 9 years ago
- A collection of tutorials on neural networks, using Theano☆222Updated 2 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆379Updated 9 years ago
- Neural networks from scratch☆108Updated 4 years ago
- A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.☆144Updated 5 years ago
- My notes and superstitions about common machine learning algorithms☆365Updated 7 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆258Updated 8 years ago
- Python version of programming assignments for "Neural Networks for Machine Learning" Coursera course taught by Geoffrey Hinton.☆79Updated 8 years ago