A collection of Kaggle solutions. Not very polished.
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Updated
Sep 13, 2015 - Python
A collection of Kaggle solutions. Not very polished.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
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 repo showcasing Betfair's API and how to use it.
A repo of the Data Scientist team's open source predictive models.
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
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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