raghavrv / Data-Structures-By-Horowitz-in-PythonLinks
☆27Updated 8 years ago
Alternatives and similar repositories for Data-Structures-By-Horowitz-in-Python
Users that are interested in Data-Structures-By-Horowitz-in-Python are comparing it to the libraries listed below
Sorting:
- Notebooks covering introductory material to ML, ML with sklearn and tips.☆77Updated 6 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 10 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Updated 11 years ago
- An extensive machine learning library, made from scratch (Python).☆111Updated 7 years ago
- A short hands-on of CNN using Stanford CS231n online material☆16Updated 7 years ago
- Pydata NYC 2014 Scikit Learn Tutorial☆65Updated 10 years ago
- Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:☆29Updated 9 years ago
- Scikit-Learn tutorials☆130Updated 7 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- All Kaggle competitions☆91Updated 8 years ago
- Scikit-learn Tutorial at EuroPython 2014☆43Updated 6 years ago
- PyData Madrid 2016 material for the talk: A Primer to recommendation Systems☆37Updated 9 years ago
- Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video☆102Updated 6 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 7 years ago
- ☆28Updated 9 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 8 years ago
- Deep learning made easy☆116Updated 11 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Materials for the PyData San Francisco 2016 visualization tutorial☆14Updated 8 years ago
- Speed up your Neural Network with Theano and the GPU☆62Updated 9 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- materials for General Assembly Data Science DC course☆81Updated 10 years ago
- Explore different deep-learning frameworks☆18Updated 7 years ago
- ☆41Updated 8 years ago
- Applied Machine Learning in Python with scikit-learn☆47Updated 14 years ago
- Default Repo description from terraform module☆1Updated 3 years ago
- Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015☆144Updated 10 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- Predicting happiness from demographics and poll answers☆45Updated 8 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago