ml-workflow-automation

Deep Learning for humans

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Streamlit — A faster way to build and share data apps.

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

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

Roadmap to becoming an Artificial Intelligence Expert in 2022

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

10 Weeks, 20 Lessons, Data Science for All!

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.