I'm thrilled to announce the latest release of MetaTS, a #Python package that simplifies and accelerates global #timeseries #forecasting using #meta-learning.

You can find MetaTS on GitHub here: https://github.com/DrSasanBarak/metats

Meta-learning has emerged as a winning solution for recent time series #forecasting competitions, and MetaTS is designed to make #meta-learning more accessible to researchers and data scientists. With MetaTS, you can easily generate meta-features using automated feature extraction and deep unsupervised learning, implement base-forecaster models, and optimize meta-parameters using a flexible and customizable pipeline.

In addition to providing a user-friendly toolkit for meta-learning, MetaTS also unifies the available Python libraries that can be useful for time series forecasting. You can leverage the power of #Sktime, #Nixtla, #Darts, and other libraries to create base forecasters and explore different meta-model architectures, including #stacking and #ensembling.

I'm proud of what we've achieved with MetaTS, and I believe it can be a valuable resource for anyone looking to improve their time series forecasting #performance. The latest version of the package is available on GitHub, and we welcome any feedback or contributions to help make MetaTS even better.

This can not be done without a great dedication and contribution of my colleague @AmirabbasAsadi .

Be tuned about this project on my LinkedIn

Thank you for your support!

#Python Course 🚀🚀🚀

FreeCodeCamp released a course from Harvard University - Introduction to Programming with Python by Prof. David J. Malan. The course is for beginners with no previous programming experience focusing on the following topics:
✅ Functions and variables
✅ Conditionals and loops
✅ Libraries and unit tests
✅ Regular expressions
✅ Object-oriented programming

Resources 📚
➡️ Course: https://www.youtube.com/watch?v=nLRL_NcnK-4&ab_channel=freeCodeCamp.org
➡️ Slides: https://cs50.harvard.edu/python/2022/

Thanks to the freeCodeCamp ❤️ for keep creating and sharing great content!

Advanced Python Course 🚀🚀🚀

FreeCodeCamp released a course - Create a Programming Language and Learn Advanced Python, by Aryaan Hegde. The course focuses on advanced topics in Python, such as:
✅ Object-oriented programming
✅ Data structure
✅ Recursion
✅ Building algorithms

Video: https://www.youtube.com/watch?v=1WpKsY9LBlY&t=38s&ab_channel=freeCodeCamp.org

#python #computerscience #datascience #dataengineering

Introduction to Machine Learning with Python and Scikit-Learn Course 🚀🚀🚀

Another FreeCodeCamp course recently published for machine learning with Python. This is a long one (18 hours) that provides an in-depth introduction to machine learning and covers topics such as:
✅ Linear Regression and Gradient Descent
✅ Logistic Regression for Classification
✅ Decision Trees and Random Forests
✅ Gradient Boosting Machines with XGBoost
✅ Unsupervised Learning using Scikit-Learn
✅ Machine Learning Project from Scratch
✅ Deploying a Machine Learning Project with Flask

Course 📽️: https://www.youtube.com/watch?v=hDKCxebp88A

#datascience #python #machinelearning #scikitlearn