ML for MelbourneCup 2018
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Updated
Nov 5, 2018 - HTML
ML for MelbourneCup 2018
Documentation, guides and articles on creating, developing and implementing automated betting strategies, using data analysis to inform betting models and how to interact with the Betfair API. View online:
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
A repo showcasing Betfair's API and how to use it.
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
A collection of Kaggle solutions. Not very polished.
A repo of the Data Scientist team's open source predictive models.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
This repo would be a placeholder for Continuous Learning. Everything from blogs | books | meetups | side projects | LinkedIn Posts
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