(Phased out) A series of challenges for practicing your Machine Learning and Deep Learning skills
OTHER License
This repository consists of all my Machine Learning Projects.
Jupyter notebooks from the scikit-learn video series
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
Material for the MASH course on introduction to scikit-learn
Machine learning with scikit-learn tutorial at PyData Chicago 2016
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
scikit-activeml: Python library for active learning on top of scikit-learn
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and...
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stanford Machine Learning course exercises implemented with scikit-learn
Machine Learning University: Accelerated Tabular Data Class
Natural Intelligence is still a pretty good idea.
scikit-learn: machine learning in Python