Python Data Science Handbook: full text in Jupyter Notebooks

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.

100 numpy exercises (with solutions)

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

NumPy tutorials & educational content in notebook format

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

📓 deepleaning and cv notes.

📖 每一个伟大的思想和行动都有一个微不足道的开始

A collection of analytics methods implemented with Python on Google Colab

The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

A container for Deep Learning with Python 3

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.

A python project starter template for data-analytics and data-science.