A complete daily plan for studying to become a machine learning engineer.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

Monthly Series - Machine Learning Top 10 Open Source Projects

100 Days of ML Coding

A repo showcasing Betfair's API and how to use it.

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:

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

A curated list of awesome Machine Learning frameworks, libraries and software.

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

scikit-learn: machine learning in Python

Machine Learning Experiments

ML for MelbourneCup 2018

A collection of Kaggle solutions. Not very polished.

A repo of the Data Scientist team's open source predictive models.