Stars
This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.
🎲 A curated list of MLOps projects, tools and resources
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Python sample codes and textbook for robotics algorithms.
Python-based implementations of algorithms for learning on imbalanced data.
A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.
Keras Temporal Convolutional Network. Supports Python and R.
Code for paper "Temporal Relational Ranking for Stock Prediction"
Network Analysis for Financial Markets
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Time series feature extraction for Supervised Learning Modeling
Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co-integration, Euclidean and Pearson.
📖 Groovy CheatSheet For Jenkins Usage In A4
My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Portfolio analytics for quants, written in Python
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms