valeman's Projects
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Submission for 2018 M4 forecasting competition
Includes the source code of the methods which participated in the M4 Competition
Kaggle M5 Forecasting - Uncertainty 4th Place Solution
My second place solution in the M5 Accuracy competition
Data for Kaggle M5 forecasting competition (accuracy track)
Data, Benchmarks, and methods submitted to the M5 forecasting competition
Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.
3rd ranked model in M5 accuracy competition
M5 Uncertainty kaggle competition, 3rd place solution
M5 Competition Data
M6-Forecasting competition
Content for Udacity's Machine Learning curriculum
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
My book: Statistics - New Foundations, Toolbox, and Machine Learning Recipes.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
Code for "Machine Learning for Physicists 2020" lecture series
A complete daily plan for studying to become a machine learning engineer.
Machine Learning for Time-Series with Python.Published by Packt
Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading
Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"
machine learning and deep learning tutorials, articles and other resources
Python code for common Machine Learning Algorithms
Source Code for the book: Machine Learning in Action published by Manning
Solving tasks on advanced algorithms at the Made Mail.ru course
Magenta: Music and Art Generation with Machine Intelligence
Example magnetometer data from a wheeled robot