A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Python Implementation of Reinforcement Learning: An Introduction
The "Python Machine Learning (2nd edition)" book code repository and info resource
Random Forest - a curated list of resources regarding random forest
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
