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dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

dl-imperial-maths

Code and assignment repository for the Imperial College Mathematics department Deep Learning course

dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

dl_book

legend

dl_tutorial

Tutorials for deep learning

dlaicourse

Notebooks for learning deep learning

dlfs_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

dlintro

dm

Data Mining @ University of Milano-Bicocca

dm-ebook

dm4ba_s2019

Data Mining for Business Analytics class

dmba

Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"

dml-qr

IVQR with high dimensional control variables

dmlmt

Double Machine Learning for Multiple Treatments

dmlongithub

dmpa

Data Mining and Predictive Analytics : Daniel T Larose & Chantal D Larose Wiley

dmwr2

Functions and data supporting the 2nd edition of the book Data Mining with R by Luis Torgo, published by CRC Press

dnsc-6211-programming-for-business-analytics

Homeworks and Projects for DNSC 6211 Programming for Business Analytics

docbao

Công cụ quét và phân tích từ khóa các trang báo mạng Việt Nam

docker-for-data-science-tutorial

Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH

docker-reproducible-research

A course on using Docker for reproducible research based on the AuthorCarpentry templage

docker-stacks

Ready-to-run Docker images containing Jupyter applications

docs

Radiant documentation

doctoral-course

Jupyter notebooks of the course Tool for Data Science (2017/2018)

documentation

Documentation for Plotly's open-source graphing libraries

documents

Lecture notes, rubrics, checklists, and resources for 36-650/750

doepy

Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/

doing-applied-research

Doing Applied Economics Research Mixtape Track

doing-bayesian-analysis

doing-bayesian-data-analysis

MY R code from the book (2nd Edition) by John K. Kruschke