AI Agent Skills

Data science interview questions and answers

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are…

FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and…

Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.