This repository contains all files in the LinkedIn Learning course "Applied Machine Learning: Algorithms" by Derek Jedamski.

This repository contains exercise files in the LinkedIn Learning course "Machine Learning with Python: Decision Trees" by Frederick Nwanganga.

This repository contains exercise files in the LinkedIn Learning course "Machine Learning with Python: k-Means Clustering" by Frederick Nwanganga.

This repository contains Jupyter Notebooks (annotated follow-along guides and activity exemplars) in the Coursera course "The Power of Statistics," the fourth course in the Google Advanced Data Ana…

Contains Jupyter Notebooks (annotated follow-along guides and activity exemplars) in the Coursera course "Regression Analysis: Simplify Complex Data Relationships," the fifth course in the Google A…

This is a LinkedIn Learning repo for Machine Learning with Python: Association Rules.

This is a repository for the LinkedIn Learning course Python for Data Science and Machine Learning Essential Training

This is a repo for the LinkedIn Learning course Artificial Intelligence Foundations: Machine Learning

Machine Learning in Finance: From Theory to Practice Book

contains my projects for Big Data and Cloud Computing. All code is written and Java and utilizes Hadoop classes. With these, Amazon EC2 Elastic Map Reduce Cloud services were used to run these file…

Donald Miner's CMSC471 Spring 2020 Class

Exercises and examples developed for the Hadoop with Python tutorial

Exercises and examples developed for the Hadoop with Python tutorial

A visual sudoku solver which runs in the web browser. Built using OpenCV and Tensorflow to identify the sudoku grid, recognise digits, and overlay the solution.

From Theory to Practice: Statistical and Machine Learning (StatML)

🔰 A curated list of project tutorials for project based learning in web development, mobile development, game development, machine learning and artificial intelligence

Software designed to identify and monitor social/historical cues for short term stock movement

Trading Bot with focus on Evolutionary Algorithms and Machine Learning

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

A stock trading bot that uses machine learning to make price predictions.

Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc

Research in investment finance with Python Notebooks

Python AutoML for Trading Systems and Sports Betting

Quant/Algorithm trading resources with an emphasis on Machine Learning

MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.