A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

👔 💼 Build fast 🚀 and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

Jargon from the functional programming world in simple terms!

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

💡 99 Scala Problems

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Python Data Science Handbook: full text in Jupyter Notebooks

Some class materials for a data processing course using PySpark

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

Convert scans of handwritten notes to beautiful, compact PDFs

This page is a summary to keep the track of Hadoop related projects, and relevant projects around Big Data scene focused on the open source, free software environment.

Building a modern functional compiler from first principles. (http://dev.stephendiehl.com/fun/)

My resume as a PDF including the well commented LaTeX source and build instructions.

Generate polished résumés and CVs in HTML, Markdown, LaTeX, MS Word, PDF, plain text, JSON, XML, YAML, smoke signal, and carrier pigeon.

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,…