sallamander / neural-networks-introLinks
An introduction to neural networks, building up from linear regression...
☆28Updated 8 years ago
Alternatives and similar repositories for neural-networks-intro
Users that are interested in neural-networks-intro are comparing it to the libraries listed below
Sorting:
- Data Science in 30 Minutes☆84Updated 9 years ago
- Building an image classifier using keras☆164Updated 3 years ago
- Pydata Dallas 2015 Scikit-Learn Tutorial☆62Updated 10 years ago
- my public kaggle code☆79Updated 11 years ago
- Anomalous time series package for R☆93Updated 7 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 10 years ago
- Presentation on Gradient Boosting☆13Updated 9 years ago
- Public Kaggle Code and Info☆43Updated 9 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"☆63Updated 8 years ago
- Deep Learning for Pugs☆74Updated 8 years ago
- Kaggle's AXA Driver Telematics Analysis☆11Updated 10 years ago
- My personal code☆60Updated this week
- ☆41Updated 10 years ago
- Anomalous time series package for R (ACM)☆119Updated 7 years ago
- Translating R Data Analyses to Python☆279Updated 7 years ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆213Updated 7 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago
- Cleaned code of the winning submission of the Kaggle Recruiting Competition☆123Updated 6 years ago
- 2nd Place Solution in Kaggle Airbnb New User Bookings competition☆128Updated 9 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 8 years ago
- Notebooks covering introductory material to ML, ML with sklearn and tips.☆77Updated 6 years ago
- Abridged implementation of the official scikit-learn beginner tutorials☆51Updated 9 years ago
- This repo contains some R learning activities we created for the course I for the ColumbiaX series on Data Science and Analytics on edX.☆65Updated 8 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 10 years ago
- Advanced High Performance Data Science Toolbox for R by Laurae☆205Updated 8 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago
- Getting Started With R☆233Updated 11 years ago
- Code used in Kaggle competitions☆23Updated 8 years ago