axsaucedo / crypto-ml
☆12Updated 7 years ago
Alternatives and similar repositories for crypto-ml:
Users that are interested in crypto-ml are comparing it to the libraries listed below
- Utility to help search within a set of jupyter notebooks☆16Updated 5 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 6 years ago
- Kaggle competition results☆20Updated 6 years ago
- feng - feature engineering for machine-learning champions☆27Updated 8 years ago
- Process, visualize and use data easily.☆20Updated last year
- Predicting sales with Pandas☆15Updated 9 years ago
- PyConUK 2016 talk - Using Machine Learning to solve a classification problem with scikit-learn - a practical walkthrough☆18Updated 8 years ago
- ☆15Updated 6 years ago
- Unsupervised ML algorithm for predictive modeling and time-series analysis☆38Updated 4 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Online feature-extraction and classification algorithm that learns representations of input patterns.☆31Updated 8 years ago
- Presentations & notebooks from our talks /workshops/meetups/etc☆24Updated 7 years ago
- Deep learning certificate part 1☆10Updated 2 years ago
- ClickModels for Search Engines Implemented on top of Cython.☆13Updated 3 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 9 years ago
- A simple python wrapper over MLJAR API.☆42Updated 2 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- A distributed in-memory fabric based on shared-memory blocks and datashape. Any language can operate on the data.☆13Updated 9 years ago
- Using the Quandl API to (try) to apply ML to the stock market☆13Updated 8 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- Datasets and notebooks☆13Updated 8 years ago
- Derivatives models written with the Tributary data flow library☆23Updated 4 months ago
- Some wrappers around python modules for simplifying the data exploration process.☆13Updated 4 months ago
- IPython Notebook Servers in Docker Containers☆27Updated 9 years ago
- Universal 1d/2d data containers with Transformers functionality for data analysis.☆26Updated 2 years ago
- Python utilities for Machine Learning competitions☆32Updated 7 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- ☆25Updated 6 years ago