Learn how to design, develop, deploy and iterate on production-grade ML applications.

10 Weeks, 20 Lessons, Data Science for All!

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

Taskforce ile amacımız topluluk destekli ve açık kaynaklı eğitim içerikleri oluşturmak ve programlama öğrenmek isteyen kişilere temelden ileri seviyeye kadar proje bazlı içerikler sağlamak.

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.

deeplearning.ai Tensorflow advance techniques specialization

Code accompanying the "Debugging machine learning in production" talk

Helpful data preprocessing, training, and visualisation code and scripts for a range of Kaggle competitions, supported by Weights & Biases.

Repo used to share the demos used in D.C. Vienna 2017

Demonstrate how to clean data using python and pandas